Siemens Medical Solutions USA, Inc.

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1.

TOPOGRAM-BASED LOCALIZATION AND/OR ATTENUATION MAPPING IN EMISSION TOMOGRAPHY

      
Application Number 18632353
Status Pending
Filing Date 2024-04-11
First Publication Date 2025-10-16
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Massanes Basi, Francesc Dassis
  • Vija, Alexander Hans
  • Mcdougald, Wendy

Abstract

In emission imaging, one, two, or a few topograms without a full CT scan are used to localize, such as through triangulation, and/or generate an attenuation map, such as based on model fitting. A limited radiation exposure, rather than a longer, larger full CT exposure, is needed to localize and/or provide attenuation correction for emission imaging, such as cardiac SPECT imaging.

IPC Classes  ?

2.

METHODS AND APPARATUS FOR DEEP LEARNING BASED MOTION DETECTION IN NUCLEAR IMAGING SYSTEMS

      
Application Number 18618372
Status Pending
Filing Date 2024-03-27
First Publication Date 2025-10-02
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Schaefferkoetter, Joshua
  • Conti, Maurizio

Abstract

Systems and methods for detecting subject motion within medical images based on trained deep learning processes are disclosed. In some examples, an image processing system receives positron emission tomography (PET) measurement data and co-modality measurement data from an image scanner. The image processing system generates PET images and co-modality images based on the PET measurement data and co-modality measurement data, respectively. Further, the image processing system inputs the PET images and the co-modality images to a first trained neural network, and generates first features of the PET measurement data and second features of the co-modality measurement data. The image processing system inputs the first features and the second features to a second trained neural network and, generates displacement data characterizing a displacement between the first features and the second features. Based on the displacement data, the image processing system generates display data for display.

IPC Classes  ?

  • A61B 6/03 - Computed tomography [CT]
  • G06F 3/14 - Digital output to display device
  • G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing

3.

ULTRASOUND MODULAR FRONT-END FRAMEWORK

      
Application Number 18617678
Status Pending
Filing Date 2024-03-27
First Publication Date 2025-10-02
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Urbano, Joseph A.
  • Schwartz Klessel, Jodi
  • Dreschel, William R.

Abstract

An ultrasound modular front-end framework. An ultrasound modular front-end includes a first ultrasound front-end circuit that generates digital ultrasound data, and a communication module that is configured to be communicatively coupled to an ultrasound probe and a main console. The main console constructs ultrasound images based on the digital ultrasound data. The ultrasound front-end circuit is disposed within a housing that is separate from a housing of the main console.

IPC Classes  ?

  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
  • G06T 1/00 - General purpose image data processing
  • G06T 7/00 - Image analysis

4.

RECONSTRUCTION OF PROMPT GAMMA COINCIDENCE DATA IN PET SCANS

      
Application Number 18624710
Status Pending
Filing Date 2024-04-02
First Publication Date 2025-10-02
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Bharkhada, Deepak
  • Panin, Vladimir
  • Steinberger, William

Abstract

A method of identifying prompt gamma rays by triple-photon detection is disclosed. The method involves using two annihilation photons and a prompt gamma photon to determine the direction of the corresponding prompt gamma ray.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation

5.

CARDIAC BUNDLE BRANCH BLOCK MODELING

      
Application Number 18609190
Status Pending
Filing Date 2024-03-19
First Publication Date 2025-09-25
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Miihalef, Viorel
  • Passerini, Tiziano
  • Sharma, Puneet

Abstract

Systems and methods for optimizing an electro-anatomical model of an anatomical object of a patient are provided. 1) one or more input medical images of an anatomical object of a patient and 2) electrophysiological data associated with the anatomical object are received. An electro-anatomical model of the anatomical object is generated based on the one or more input medical images and the electrophysiological data. The electro-anatomical model is optimized based on one or more electrical conduction parameters for electrical pathways in the electro-anatomical model. The one or more electrical conduction parameters are continuous variables defined between a value representing no electrical conduction in the electrical pathways and a value representing full electrical conduction in the electrical pathways. The optimized electro-anatomical model is output.

IPC Classes  ?

  • G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
  • A61B 5/319 - Circuits for simulating ECG signals

6.

AI-DRIVEN PET RECONSTRUCTION FROM HISTOIMAGE

      
Application Number 18610566
Status Pending
Filing Date 2024-03-20
First Publication Date 2025-09-25
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Siegel, Stefan
  • Hong, Inki
  • Burbar, Ziad

Abstract

Systems and methods include acquisition of a computed tomography image of an object, determination of a linear attenuation coefficient map based on the computed tomography image, acquisition of positron emission tomography (PET) data of the object, determination of a histoimage of the object based on the PET data, determination of a scatter histoimage based on the histoimage and the linear attenuation coefficient map, determination of a scatter-corrected histoimage based on the histoimage and the scatter histoimage, and input of the computed tomography image and the scatter-corrected histoimage to a trained neural network to generate a PET image.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 6/03 - Computed tomography [CT]
  • G06T 7/00 - Image analysis
  • G06T 9/00 - Image coding

7.

METHODS AND APPARATUS FOR MEDICAL IMAGING EVENT DETECTION AND IMAGE RECONSTRUCTION

      
Application Number 18615044
Status Pending
Filing Date 2024-03-25
First Publication Date 2025-09-25
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Burbar, Ziad
  • Siegel, Stefan

Abstract

Systems and methods for detecting multiple events during nuclear imaging scans, and for reconstructing images based on the detected events, are disclosed. In some embodiments, an image scanning system scans a subject, and generates a signal characterizing a detection event. The system applies a peak detection process to the signal and, based on the application of the peak detection process, detects a position of each of a plurality of peaks of the signal. Further, the system determines an amplitude of each of the peaks of the signal. The system also determines an energy value for each of the peaks based on applying a curve fitting process to the position and the amplitude of each of the peaks. The system may also determine a time-offset value for a peak based on its position in relation to a previous peak, and may transmit the energy values and corresponding times to generate time-coincident pairs for image reconstruction.

IPC Classes  ?

  • A61B 6/03 - Computed tomography [CT]
  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beamMeasurement of spatial distribution of radiation

8.

METHODS AND APPARATUS FOR MACHINE LEARNING BASED MEDICAL IMAGING EVENT DETECTION AND IMAGE RECONSTRUCTION

      
Application Number 18615078
Status Pending
Filing Date 2024-03-25
First Publication Date 2025-09-25
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Burbar, Ziad
  • Siegel, Stefan

Abstract

Systems and methods for detecting multiple events during nuclear imaging scans, and for reconstructing images based on the detected events, are disclosed. In some embodiments, an image scanning system scans a subject, and generates a signal characterizing a detection event. The system generates sampled data based on sampling the at least one signal. Further, the system applies a trained machine learning process to the sampled data. Based on the application of the trained machine learning process, the system generates pulse data characterizing a plurality of decoupled pulses. For example, the pulse data may characterize pulse energy values of each of the decoupled pulses, and corresponding times for each of the pulses. Further, the method includes transmitting the pulse data to generate time-coincident pairs for image reconstruction.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • A61B 6/03 - Computed tomography [CT]
  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beamMeasurement of spatial distribution of radiation

9.

SYSTEMS AND METHODS FOR SUPER TIME-OF-FLIGHT RESOLUTION

      
Application Number 18707969
Status Pending
Filing Date 2022-05-12
First Publication Date 2025-09-25
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Cabello, Jorge
  • Conti, Maurizio

Abstract

Systems and methods of generating improved resolution histo-images are disclosed. A system includes a positron emission tomography (PET) imaging modality configured to execute a first scan to acquire a first PET dataset and a processor configured to back-project the first PET dataset to generate a first histo-image having a first resolution, input the first histo-image to a trained neural network, receive a second histo-image from the trained neural network, and input the second histo-image to a reconstruction process configured to generate a reconstructed PET image. The second histo-image has a second resolution higher than the first resolution. The second histo-image represents the first PET dataset.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 3/4046 - Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
  • G06T 3/4053 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution

10.

Artificial Intelligence-Assisted Contouring in Medical Imaging

      
Application Number 18607989
Status Pending
Filing Date 2024-03-18
First Publication Date 2025-09-18
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Zhang, Yue

Abstract

For AI-assisted segmentation, when a user alters a segmentation of an object, indications of what is not desired (e.g., samples from where the segmentation border use to be but is no longer due to the change) are used to inform segmentation for non-changed regions. Negative and positive samples from a user alteration may be extracted. Information from these negative, with or without the positive samples, is used by a machine-learned model to re-segment the object. The user change is used to correct the segmentation even for non-changed regions, minimizing the amount of manual adjustment needed and providing segmentation specific to the user and/or purpose.

IPC Classes  ?

11.

ENERGY-RESOLVED IMAGE RECONSTRUCTION

      
Application Number 18607823
Status Pending
Filing Date 2024-03-18
First Publication Date 2025-09-18
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Adany, Peter

Abstract

A framework for energy-resolved image reconstruction. The framework receives projection data representing emissions detected from a subject. The projection data may be formatted into energy-resolved data. Contribution coefficients of one or more components of the emissions may be determined based on the energy-resolved data. An image of the subject may be reconstructed using the contribution coefficients.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • A61B 6/03 - Computed tomography [CT]
  • A61B 6/42 - Arrangements for detecting radiation specially adapted for radiation diagnosis

12.

NATURAL LANGUAGE PROCESSING FOR MEDICAL IMAGING

      
Application Number US2024019479
Publication Number 2025/193222
Status In Force
Filing Date 2024-03-12
Publication Date 2025-09-18
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Massanes Basi, Francesc Dassis
  • Vija, Alexander Hans

Abstract

A framework for natural language processing for medical imaging. The framework may first receive a user request the includes natural language text. One or more imaging parameters may be generated in response to the user request using a trained large language model. A medical imaging task may be initiated based on the one or more imaging parameters. A response may then be generated based on results of the medical imaging task.

IPC Classes  ?

13.

CARDIAC FLOW DETECTION BASED ON MORPHOLOGICAL MODELING IN MEDICAL DIAGNOSTIC ULTRASOUND IMAGING

      
Application Number 19219031
Status Pending
Filing Date 2025-05-27
First Publication Date 2025-09-11
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Tek, Huseyin
  • Georgescu, Bogdan
  • Mansi, Tommaso
  • Sauer, Frank
  • Comaniciu, Dorin
  • Houle, Helene C.
  • Voigt, Ingmar

Abstract

For cardiac flow detection in echocardiography, by detecting one or more valves, sampling planes or flow regions spaced from the valve and/or based on multiple valves are identified. A confidence of the detection may be used to indicate confidence of calculated quantities and/or to place the sampling planes.

IPC Classes  ?

  • A61B 8/06 - Measuring blood flow
  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B 8/08 - Clinical applications
  • G06T 7/00 - Image analysis
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

14.

COOLING SYSTEM FOR MEDICAL IMAGING APPARATUS

      
Application Number US2024017582
Publication Number 2025/183687
Status In Force
Filing Date 2024-02-28
Publication Date 2025-09-04
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor Corbeil, James L.

Abstract

A cooling system for a medical imaging apparatus. The cooling system may include mounting rails circumferentially spaced on a backplane of a gantry of the medical imaging apparatus. Cooling structures may be slidably mounted on the mounting rails. At least one of the cooling structures includes a chill plate, at least one detector electronics assembly (DEA) thermally conductively coupled to the chill plate, and a cooling conduit thermally conductively coupled to the chill plate, wherein the cooling conduit receives a fluid coolant via a first connection and discharges the fluid coolant via a second connection.

IPC Classes  ?

  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment

15.

ELECTROMAGNETIC INTERFERENCE (EMI) SHIELDING END CAP FOR AN EMI SHIELDING HOUSING

      
Application Number US2024017586
Publication Number 2025/183689
Status In Force
Filing Date 2024-02-28
Publication Date 2025-09-04
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Corbeil, James L.
  • Judenhofer, Martin
  • Bills, Mark

Abstract

An enclosure for shielding electromagnetic interference (EMI). The enclosure includes an EMI shielding housing having a plurality of walls and at least one open end, wherein the walls define an internal cavity and wherein an inner surface of at least one wall includes an electrically conductive edge section located at the open end. The enclosure also includes an end cap that is removably attached to the open end, an electrically conductive foil element having a wiper contact and a resilient and electrically conductive EMI gasket located between the end cap and the foil element. The wiper contact and EMI gasket are folded such that the wiper contact is located between the EMI gasket and the edge section wherein the wiper contact makes electrical contact with the edge section and the EMI gasket is biased to push the wiper contact toward the edge section to maintain electrical contact.

IPC Classes  ?

  • H01R 13/6584 - Shield structure with resilient means for engaging mating connector with separate conductive resilient members between mating shield members formed by conductive elastomeric members, e.g. flat gaskets or O-rings
  • H01R 13/6581 - Shield structure
  • H01R 13/6582 - Shield structure with resilient means for engaging mating connector
  • H01R 13/6583 - Shield structure with resilient means for engaging mating connector with separate conductive resilient members between mating shield members
  • G12B 17/02 - Screening from electric or magnetic fields, e.g. radio waves

16.

THREE DIMENSIONAL ORGAN RECONSTRUCTION FROM TWO DIMENSIONAL SPARSE IMAGING DATA

      
Application Number 18748625
Status Pending
Filing Date 2024-06-20
First Publication Date 2025-09-04
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Jacob, Athira Jane
  • Klein, Paul
  • Funka-Lea, Gareth

Abstract

Systems and methods for three dimensional reconstruction from two dimensional imaging data. An neural implicit shape function model is used to regress a shape of an organ from two dimensional sparse imaging data. Contours of the organ are generated from the two dimensional sparse imaging data. The contours are used to train the neural implicit shape function model to regress the shape of the organ.

IPC Classes  ?

  • G06T 17/20 - Wire-frame description, e.g. polygonalisation or tessellation
  • G06T 7/00 - Image analysis

17.

COMPOSITE ACOUSTIC ABSORBER FOR ULTRASOUND TRANSDUCER ARRAY

      
Application Number 19211471
Status Pending
Filing Date 2025-05-19
First Publication Date 2025-09-04
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Abothu, Isaac
  • Davis, Stephen
  • Cha, Phong

Abstract

Acoustic absorbers are formed for ultrasound transducers. The acoustic absorber provides desired attenuation, impedance, and thermal conductivity qualities based on a filler of rubber, ceramic, and metal particles. The relative amounts of the different fillers may be adjusted to tune the acoustic attenuation, thermal conductivity, and/or acoustic impedance.

IPC Classes  ?

  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
  • B06B 1/06 - Processes or apparatus for generating mechanical vibrations of infrasonic, sonic or ultrasonic frequency making use of electrical energy operating with piezoelectric effect or with electrostriction
  • G10K 11/162 - Selection of materials

18.

METHODS AND APPARATUS FOR MEDICAL IMAGING EVENT DETECTION TIMING CORRECTIONS AND IMAGE RECONSTRUCTION

      
Application Number 18584193
Status Pending
Filing Date 2024-02-22
First Publication Date 2025-08-28
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Siegel, Stefan
  • Burbar, Ziad

Abstract

Systems and methods for correcting timing information associated with captured nuclear imaging data, and for reconstructing medical images based on the corrected timing information, are disclosed. In some embodiments, an image scanning system scans a subject, detects an event, and generates timing data for the detected event. The timing data includes a first number of bits, and characterizes a time that a crystal of the image scanning system detected the event. The image scanning system shifts the first number of bits by a predetermined amount to generate a second number of bits, where the second number of bits includes at least one bit representing a lower order time value than the least significant bit of the first number of bits of the timing data. Further, the image scanning system generates timing correction data for the event based on the second timing data.

IPC Classes  ?

  • G01R 33/54 - Signal processing systems, e.g. using pulse sequences
  • G01R 33/48 - NMR imaging systems
  • H03M 1/50 - Analogue/digital converters with intermediate conversion to time interval

19.

ADAPTATION OF PET DATA ACQUISITION PARAMETERS

      
Application Number 18581906
Status Pending
Filing Date 2024-02-20
First Publication Date 2025-08-21
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Zuehlsdorff, Sven
  • Zeiss, Mario
  • Williams, James

Abstract

Systems and methods include determination of an anatomical image of an object, input of the anatomical image to a trained neural network to generate a synthetic functional image, acquisition of molecular imaging data of the object based on acquisition parameters, reconstruction of a functional image based on the molecular imaging data, determination of a difference between the functional image and the synthetic functional image, change of one of the acquisition parameters based on the difference, acquisition of second molecular imaging data of the object based on the changed acquisition parameters, and reconstruction of a second functional image based on the second molecular imaging data.

IPC Classes  ?

20.

CERAMIC SUPPORT PLATE

      
Application Number 18582981
Status Pending
Filing Date 2024-02-21
First Publication Date 2025-08-21
Owner Siemens Medical Solutions USA. Inc. (USA)
Inventor
  • Andreaco, Mark
  • Marlar, Troy

Abstract

Disclosed herein is a device for manufacturing a single crystal comprising: a furnace that includes a furnace wall; a crucible disposed on a first base plate within the furnace; where the first base plate has a porosity of 1 to 80 volume percent, based on a total volume of the first base plate; and where the first base plate does not comprise free flowing particles; an induction coil disposed inside the furnace wall and outside the crucible; and a refractory lining being disposed in an annulus between the furnace wall and the crucible.

IPC Classes  ?

  • C30B 15/10 - Crucibles or containers for supporting the melt
  • C30B 15/14 - Heating of the melt or the crystallised materials
  • C30B 29/28 - Complex oxides with formula A3Me5O12, wherein A is a rare earth metal and Me is Fe, Ga, Sc, Cr, Co or Al, e.g. garnets
  • C30B 29/34 - Silicates

21.

AI-DRIVEN MOTION CORRECTION OF PET DATA

      
Application Number 18437354
Status Pending
Filing Date 2024-02-09
First Publication Date 2025-08-14
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Panin, Vladimir
  • Conti, Maurizio

Abstract

Systems and methods include acquisition of an anatomical image of an object, acquisition of molecular imaging data of the object at the plurality of photon detectors, reconstruction of a functional image based on the molecular imaging data, input of the anatomical image and the functional image to a trained neural network to generate a second functional image, and presentation of the second functional image.

IPC Classes  ?

22.

Patient Handling System for a Medical Imaging System

      
Application Number 19195798
Status Pending
Filing Date 2025-05-01
First Publication Date 2025-08-14
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Burbar, Ziad
  • Hong, Inki
  • Corbeil, James L.

Abstract

A patient handling system (PHS) for a medical imaging system having a tunnel that extends through at least one scanning portion of the system. The PHS includes a first moveable pedestal that supports a detachable first pallet that includes a first patient. The first pedestal moves the first pallet through the tunnel to enable scanning of the first patient. The PHS also includes a second moveable pedestal located at a tunnel exit. The second pedestal attaches to the first pallet as the first pallet moves through the tunnel and the first pedestal subsequently detaches from the first pallet. The second pedestal then moves away from the tunnel exit to remove the first pallet from the tunnel. A second patient to be scanned is simultaneously prepared for scanning on a second pallet as the first pallet is moved through the tunnel in order to increase patient throughput through system.

IPC Classes  ?

  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 6/03 - Computed tomography [CT]
  • A61B 6/04 - Positioning of patientsTiltable beds or the like

23.

ALIGNMENT OF IMAGES FROM A MULTI-MODALITY IMAGING SYSTEM

      
Application Number 18830656
Status Pending
Filing Date 2024-09-11
First Publication Date 2025-08-07
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Gerlach, Keith
  • Yan, Shikui
  • Schleyer, Paul
  • Toll, Riley
  • Crosby, Mariah

Abstract

A framework for aligning images from a multi-modality imaging system. A first image of a phantom positioned on a patient table may be acquired using a first camera of first modality in the multi-modality imaging system. The phantom may include first and second hot rods, as well as first, second and third cold rods. The first and second hot rods are disposed in a plane that is substantially orthogonal to a travel vector of the patient table, while the first and second cold rods are substantially orthogonal to the travel vector, and the third cold rod is substantially parallel to the travel vector. A second image of the phantom may be acquired using a second camera of second modality in the multi-modality imaging system. Misalignment parameters of the first and second cameras may be determined based on the first and second images.

IPC Classes  ?

  • A61B 6/58 - Testing, adjusting or calibrating thereof
  • A61B 6/03 - Computed tomography [CT]

24.

PARTIAL SCAN AND RECONSTRUCTION FOR A POSITRON EMISSION TOMOGRAPHY SYSTEM

      
Application Number 19186004
Status Pending
Filing Date 2025-04-22
First Publication Date 2025-08-07
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Burbar, Ziad
  • Hong, Inki
  • Siegel, Stefan B.

Abstract

A system to scan a region of a patient comprises determination of the region, acquisition of PET singles data from a plurality of photosensors, determination of PET singles data which is associated with the region, generation of PET coincidence data based on the PET singles data which is associated with the region, and generation of a PET image based on the PET coincidence data.

IPC Classes  ?

  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 6/03 - Computed tomography [CT]
  • A61B 6/46 - Arrangements for interfacing with the operator or the patient

25.

DOSE-LESS ORGAN SEGMENTATION BASED ON NUCLEAR IMAGE

      
Application Number 18433924
Status Pending
Filing Date 2024-02-06
First Publication Date 2025-08-07
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Ding, Xinhong
  • Hakl, Kevin Scott

Abstract

A system and method includes acquisition of nuclear imaging data, reconstruction of a three-dimensional image based on nuclear imaging data, input of the three-dimensional image to a trained convolutional network to either generate a linear attenuation correction map and a simulated computed tomography image based on the linear attenuation correction map or generate simulated computer tomography images directly, application of a segmentation algorithm to the simulated computed tomography image to generate a segmentation map, and display of the segmentation map.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 3/4046 - Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
  • G06T 7/10 - SegmentationEdge detection

26.

CONTRASTIVE REINFORCEMENT LEARNING-BASED NAVIGATION IN MEDICAL IMAGING

      
Application Number 18432113
Status Pending
Filing Date 2024-02-05
First Publication Date 2025-08-07
Owner
  • Siemens Medical Solutions USA, Inc. (USA)
  • King's College London (United Kingdom)
Inventor
  • Amadou, Abdoul Aziz
  • Singh, Vivek
  • Ghesu, Florin-Cristian
  • Kim, Young-Ho
  • Young, Alistair
  • Sharma, Puneet
  • Rhode, Kawal

Abstract

For movement of medical sensors for medical imaging, an artificial intelligence (AI) is trained using a contrastive reinforcement learning (CRL) framework. Simulation may be used to provide the training data. For training, the sampling for a given input instance in CRL may use trajectories simulated from different patients for better contrast. CRL, with or without the simulation feature and/or the sampling feature, may provide more generalized navigation, such as in interventional or diagnostic settings.

IPC Classes  ?

  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B 8/12 - Diagnosis using ultrasonic, sonic or infrasonic waves in body cavities or body tracts, e.g. by using catheters
  • B25J 9/16 - Programme controls
  • G06T 7/70 - Determining position or orientation of objects or cameras

27.

METHODS AND APPARATUS FOR MEDICAL IMAGE RECONSTRUCTION USING MACHINE LEARNING BASED PROCESSES

      
Application Number 18423780
Status Pending
Filing Date 2024-01-26
First Publication Date 2025-07-31
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Partin, Lauren
  • Shah, Vijay
  • Zuehlsdorff, Sven

Abstract

Machine learning based systems and methods for improving attenuation and scatter correction and for estimating organ volume in medical images are disclosed. In some embodiments, a co-modality image, a non-attenuated corrected nuclear image, and an x-ray image are received. A first machine learning process is applied to the co-modality image to generate location data identifying feature locations. Further, a second machine learning process is applied to the non-attenuated corrected nuclear image, the x-ray image, and the location data to generate a segmentation mask. In addition, at least a third machine learning process is applied to the segmentation mask, the co-modality image, the non-attenuated corrected nuclear image, and the x-ray image to generate a plurality of synthetic images. Moreover, at least a fourth machine learning process is applied to the plurality of synthetic images to generate a final synthetic image.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 7/11 - Region-based segmentation
  • G06T 7/30 - Determination of transform parameters for the alignment of images, i.e. image registration
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
  • G06T 9/00 - Image coding
  • G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components

28.

UNINTERRUPTED COOLING SYSTEM FOR A DIAGNOSTIC MEDICAL IMAGING APPARATUS

      
Application Number 18689226
Status Pending
Filing Date 2023-03-08
First Publication Date 2025-07-31
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Burbar, Ziad
  • Keller, John

Abstract

A passive, uninterrupted cooling system continues to absorb waste heat generated with a diagnostic medical imaging system during a patient scan, in the event of a power failure incident or disruption of cooling water supply within an imaging facility. The passive, uninterrupted cooling system incorporates one or more phase change materials (PCMs) that maintain the cooling system temperature at material's melting temperature, while absorbing the imaging system's waste heat. This enables clinicians to complete an in-progress imaging scan of a patient within the scanning system's operational temperature specifications. In some embodiments, the PCMs absorb transient heat spikes generated during patient scans, in order to maintain a relatively consistent cooling system operational temperature. In some embodiments, the passive, uninterrupted cooling system is used to cool PET/CT, PET, or CT imaging systems.

IPC Classes  ?

  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 6/03 - Computed tomography [CT]

29.

FAST TIMING AND DEPTH OF INTERACTION SIMPLIFIED PET DETECTOR WITH PROJECTIVE-STYLE ANODE-CATHODE READOUT

      
Application Number US2024013059
Publication Number 2025/159756
Status In Force
Filing Date 2024-01-26
Publication Date 2025-07-31
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Kapusta, Maciej
  • Mintzer, Robert A.

Abstract

A Positron Emission Tomography (PET) detector includes a sensor. The sensor includes a photodetector array, an anode summing circuit, a cathode summing circuit, and a processor. The photodetector array has a plurality of photodetectors arranged in a two-dimensional grid having rows and columns, each photodetector configured to generate an anode signal and a cathode signal in response to an event at the photodetector. The anode summing circuit is configured to determine a sum of anode currents generated by photodetectors within a column of the photodetector array. The cathode summing circuit is configured to determine a sum of cathode currents generated by photodetectors within a row of the photodetector array. The processor is configured to determine parameters of the event based on at least one of the sum of anode currents and the sum of cathode currents.

IPC Classes  ?

  • A61B 6/03 - Computed tomography [CT]
  • G01T 1/208 - Circuits specially adapted for scintillation detectors, e.g. for the photo-multiplier section
  • G01R 33/48 - NMR imaging systems
  • H01L 27/146 - Imager structures

30.

Machine for fabricating a continuous loop of twine

      
Application Number 18645637
Grant Number 12371823
Status In Force
Filing Date 2024-04-25
First Publication Date 2025-07-29
Grant Date 2025-07-29
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Grace, Kenneth
  • Yarrington, Jeremy

Abstract

A threading machine performs a method for creating a continuous loop of twine. A plate has a first face, a second face opposite the first face, and a hole therethrough. A ring gear is disposed on the first face and rotates about a central axis aligned with the hole. A drive pulley unwinds the thread from a spool on the ring gear and through the central axis of the ring gear in a threading direction. The drive pulley directs the thread through the ring gear a plurality of times. The ring gear is held stationary as the drive pulley unwinds the thread during a first manufacturing step to form a core of the continuous loop and rotates as the drive pulley unwinds the thread during a second manufacturing step to wrap the thread around the core to form an outer wrap around the core.

IPC Classes  ?

  • D02G 3/38 - Threads in which fibres, filaments, or yarns are wound with other yarns or filaments
  • D02G 3/44 - Yarns or threads characterised by the purpose for which they are designed

31.

METHODS AND APPARATUS FOR GENERATING IMAGES FOR AN UPTAKE TIME USING MACHINE LEARNING BASED PROCESSES

      
Application Number 18408688
Status Pending
Filing Date 2024-01-10
First Publication Date 2025-07-10
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Guo, Xueqi
  • Pigg, David
  • Partin, Lauren
  • Shah, Vijay

Abstract

Systems and methods that employ machine learning processes for generating medical images associated with a particular uptake time. For instance, the embodiments may apply machine learning processes to positron emission tomography (PET) images captured with a first uptake time to generate output images associated with a second uptake time. In some examples, a system receives PET measurement data characterizing a scanned image of a subject. The system also receives uptake time data characterizing a first uptake time of the scanned image. The system applies a trained machine learning process to the measurement data and the uptake time data and, based on the application of the trained machine learning process to the measurement data and the uptake time data, generates output image data characterizing an output image at a second uptake time. The second uptake time may be greater than the first uptake time of the originally captured PET images.

IPC Classes  ?

  • G06T 11/60 - Editing figures and textCombining figures or text
  • G06V 10/771 - Feature selection, e.g. selecting representative features from a multi-dimensional feature space
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

32.

ROBOTIC CONTROL FOR MULTIPLE STEERABLE CATHETERS

      
Application Number 18848487
Status Pending
Filing Date 2023-04-13
First Publication Date 2025-07-03
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Kim, Young-Ho
  • Collins, Jarrod
  • Mansi, Tommaso

Abstract

For robotically operating multiple catheters, a common interface is used for control of two or more different catheter robotics systems. Information is used from one catheter robotic system for control of the other robotic catheter system. The common interface provides for collaborative control. Since different robotic systems may be used for different catheters, the common interface allows for the same user input and control to be translated for robotic control using any of various catheters.

IPC Classes  ?

33.

EMISSION TOMOGRAPHY WITH GENERALIZED TIME ENCODED APERTURE IMAGING

      
Application Number 18851143
Status Pending
Filing Date 2022-06-14
First Publication Date 2025-07-03
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Vija, Alexander Hans
  • Massanes Basi, Francesc Dassis

Abstract

For emission tomography, a greater number of emissions are detected. To detect a greater number of emissions and provide better resolution than provided by a parallel hole collimator, the collimator is replaced by an attenuation object with exterior and interior edges. Rather than enforcing directionality, larger holes with different shapes may be used to allow a greater number of emissions to be detected. By moving the attenuation object, the differences in the shadows on the sensor may be used as a time-encoded aperture to reconstruct the source of emissions with greater resolution and sensitivity than where a fixed parallel hole collimator is used.

IPC Classes  ?

  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beamMeasurement of spatial distribution of radiation

34.

DISPLACEMENT MECHANISM FOR PATIENT CONTROLLED PLACEMENT AND REMOVAL OF AN OPTICAL DEVICE IN A CONFINED SPACE ENVIRONMENT

      
Application Number 19074808
Status Pending
Filing Date 2025-03-10
First Publication Date 2025-06-26
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Corbeil, James L.
  • Judenhofer, Martin

Abstract

A method of placing an optical device onto a patient's eyes and removing the optical device from the patient's eyes when the patient is located in a patient bore of a medical imaging system having a confined headspace. The method includes providing a pneumatic device and a resilient element attached between an inner surface of the patient bore and the optical device wherein the resilient element extends through the pneumatic device and wherein the optical device is spaced apart from the patient's eyes in a first position. The pneumatic device is inflated to move the optical device to a second position wherein the optical device is placed on the patient's eyes. Inflation of the pneumatic device extends the resilient element and biases the resilient element to return to the first position. Air is vented from the pneumatic device to return the optical device to the first position.

IPC Classes  ?

  • A61B 5/00 - Measuring for diagnostic purposes Identification of persons
  • A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 6/03 - Computed tomography [CT]
  • B25J 1/12 - Manipulators positioned in space by hand having means for attachment to a support stand

35.

PREDICTIVE CONTROL OF ROBOTIC MANIPULATOR FOR A CATHETER

      
Application Number 18538230
Status Pending
Filing Date 2023-12-13
First Publication Date 2025-06-19
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Kim, Young-Ho
  • Ghesu, Florin-Cristian

Abstract

For predictive control of tendon-driven continuum mechanisms (TDCMs), a machine-learned model predicts future control of the motor or robot based on user commands to move the catheter. For example, a robotically operated catheter includes a TDCM. The machine-learned model, such as a recurrent neural network or another artificial intelligence, predicts future control. This prediction may account for the unknown environment using input of past states of the motor and/or position of the tip of the catheter or other steered device.

IPC Classes  ?

  • A61B 34/30 - Surgical robots
  • A61B 17/00 - Surgical instruments, devices or methods
  • A61B 34/00 - Computer-aided surgeryManipulators or robots specially adapted for use in surgery
  • B25J 9/16 - Programme controls

36.

LEFT ATRIAL APPENDAGE SEGMENTATION AND QUANTIFICATION IN 3D AND 4D CARDIAC ULTRASOUND

      
Application Number 18539651
Status Pending
Filing Date 2023-12-14
First Publication Date 2025-06-19
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Zhang, Yue
  • Sharma, Puneet

Abstract

Systems and methods for real time three-dimensional left atrial appendage (LAA) quantification. Deep learning is used to perform LAA segmentation, tracking and live quantification on critical measurement in 4D ultrasound sequences. The collected information may be used for device selection and anomaly detection to assist early-phase disease finding.

IPC Classes  ?

  • G06T 7/11 - Region-based segmentation
  • G06T 7/149 - SegmentationEdge detection involving deformable models, e.g. active contour models
  • G06T 7/62 - Analysis of geometric attributes of area, perimeter, diameter or volume

37.

EMBEDDED CAPACITANCE MATERIAL USAGE FOR SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY

      
Application Number US2023081489
Publication Number 2025/116897
Status In Force
Filing Date 2023-11-29
Publication Date 2025-06-05
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor Sanpitak, Patanit

Abstract

For single photon emission computed tomography (SPECT) detectors, an embedded capacitance material (ECM) is used in a printed circuit board (PCB) with the semiconductor detector. The high voltage (HV) filtering and/or blocking capacitors are formed from ECM. The ECM interferes less with the radiation or emissions to be detected by the semiconductor detector than a surface mounted capacitor

IPC Classes  ?

  • A61B 6/03 - Computed tomography [CT]
  • G01T 1/24 - Measuring radiation intensity with semiconductor detectors
  • H05K 1/18 - Printed circuits structurally associated with non-printed electric components
  • H05K 1/16 - Printed circuits incorporating printed electric components, e.g. printed resistor, capacitor, inductor

38.

USE OF BACKGROUND RADIATION-BASED TOF OFFSETS TO EVALUATE ANNIHILATION RADIATION-BASED TOF OFFSETS

      
Application Number 18519291
Status Pending
Filing Date 2023-11-27
First Publication Date 2025-05-29
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Panin, Vladimir
  • Aykac, Mehmet
  • Bharkhada, Deepak

Abstract

Systems and methods include determination of a first time-of-flight offset for each of a plurality of crystals based on first annihilation radiation received by the plurality of crystals, determination of a second time-of-flight offset for each of the plurality of crystals based on radiation emitted by the plurality of crystals, determination, based on the second time-of-flight offsets, of a third time-of-flight offset for each of the plurality of crystals and associated with a response of the plurality of crystals to annihilation radiation, determination of whether the third time-of-flight offsets exceed a threshold, and, in response to a determination that the third time-of-flight offsets exceed the threshold, determine a fourth time-of-flight offset for each of the plurality of crystals based on second annihilation radiation received by the plurality of crystals.

IPC Classes  ?

  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beamMeasurement of spatial distribution of radiation
  • G01T 7/00 - Details of radiation-measuring instruments

39.

LESION LINKING USING ADAPTIVE SEARCH AND A SYSTEM FOR IMPLEMENTING THE SAME

      
Application Number 18514059
Status Pending
Filing Date 2023-11-20
First Publication Date 2025-05-22
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Soliman, Ahmed
  • Shah, Vijay
  • Spottiswoode, Bruce

Abstract

Disclosed herein is a system for linking images of a lesion taken over different periods of time comprising an imaging device that is operative to image one or more lesions present in a living being. The imaging device takes a first image at a first point in time T1 and a second image at a second point in time T2. A microprocessor is operative to receive the first image and the second image and to perform an adaptive search on the respective images. The adaptive search comprises selecting a first voxel in a first lesion in the first image and radially searching for one or more second lesions in the second image that share one or more overlapping first voxels with the first lesion in the first image. A probability is assigned if there is an overlap between the first lesion and one or more second lesions. Each voxel in the first lesion based on the probability.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06T 7/11 - Region-based segmentation
  • G06T 7/143 - SegmentationEdge detection involving probabilistic approaches, e.g. Markov random field [MRF] modelling
  • G06T 7/174 - SegmentationEdge detection involving the use of two or more images

40.

PARAMETRIC IMAGING WITHOUT PRE-SCAN BLOOD INPUT FUNCTION

      
Application Number 18514169
Status Pending
Filing Date 2023-11-20
First Publication Date 2025-05-22
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Panin, Vladimir
  • Pigg, David

Abstract

Systems and methods include acquisition of positron emission tomography (PET) data of a volume comprising blood and tissue, determination, from the acquired PET data, of a blood input function (BIF) from a time at which non-metabolized radionuclide tracer within the volume has reached a steady state between the blood and the tissue, and determination of parametric images based on the acquired PET data, the determined BIF and a parametric model which does not include BIF values prior to the time.

IPC Classes  ?

41.

Surgical Guidance with Compounded Ultrasound Imaging

      
Application Number 18800174
Status Pending
Filing Date 2024-08-12
First Publication Date 2025-05-15
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Shah, Rishabh
  • Petkov, Kaloian

Abstract

In one approach for surgical guidance with compounded ultrasound imaging, a neural field uses both probe tracking and ultrasound imaging to compound the ultrasound data into three-dimensions with alignment of the component fields of view. Accurate compounding is provided, and the compounding may operate in real-time. In another approach for visualization with pre-operative data, modeling (e.g., the neural field) from ultrasound is used to generate a 3D deformation field, which is then applied to the pre-operative data. The 3D deformation field may be applied in rendering rather than to the pre-operative volume dataset. This 3D deformation may be used in real-time, allowing for synchronized 3D ultrasound and 3D pre-operative imaging.

IPC Classes  ?

  • A61B 34/20 - Surgical navigation systemsDevices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
  • G06T 7/10 - SegmentationEdge detection
  • G06T 15/08 - Volume rendering

42.

METHODS AND APPARATUS FOR PET IMAGE RECONSTRUCTION USING MULTI-VIEW HISTO-IMAGES OF ATTENUATION CORRECTION FACTORS

      
Application Number 18502347
Status Pending
Filing Date 2023-11-06
First Publication Date 2025-05-08
Owner
  • Siemens Medical Solutions USA, Inc. (USA)
  • The Trustees of The University of Pennsylvania (USA)
Inventor
  • Millardet, Mael
  • Matej, Samuel
  • Bharkhada, Deepak
  • Panin, Vladimir
  • Schaefferkoetter, Joshua

Abstract

Systems and methods for reconstructing medical images based on the trained deep learning processes, and for training deep learning processes, are disclosed. In some examples, image measurement data is received. A histo-image is generated based on the image measurement data. Further, an attenuation map, such as a μ-map, is received. An attenuation histo-image is generated based on the attenuation map. Further, a trained machine learning process, such as a trained neural network, is applied to features generated from the histo-image and the attenuation histo-image. Based on the application of the machine learning process to the histo-image and the attenuation histo-image, output image data characterizing an image volume is generated. In some examples, a machine learning process is trained based on histo-images and corresponding attenuation histo-images. The trained machine learning process may be employed to reconstruct images, such as positron emission tomography (PET) images.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation

43.

ULTRA LOW SILICON PHOTOMULTIPLIER TERMINAL CAPACITANCE DESIGN FOR TIME-OF-FLIGHT POSITRON EMISSION TOMOGRAPHY BLOCK DETECTORS

      
Application Number US2023078587
Publication Number 2025/095975
Status In Force
Filing Date 2023-11-03
Publication Date 2025-05-08
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Zhang, Nan
  • Judenhofer, Martin
  • Loope, Michael
  • Moor, Andrew Philip
  • Rothfuss, Harold E.

Abstract

A Positron Emission Tomography system includes a circuit for a detector of the system. The detector includes an array of silicon photomultipliers. The circuit includes the array of silicon photomultipliers, an amplifier, and a transformer between the amplifier and the array of silicon photomultipliers. The array of silicon photomultipliers is connected between a first end of the transformer and a second end of the transformer. The array includes at least two silicon photomultipliers connected in series.

IPC Classes  ?

  • G01T 1/208 - Circuits specially adapted for scintillation detectors, e.g. for the photo-multiplier section
  • A61B 6/03 - Computed tomography [CT]
  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beamMeasurement of spatial distribution of radiation

44.

METHODS AND APPARATUS FOR DEEP LEARNING BASED IMAGE ALIGNMENT FOR IMAGE RECONSTRUCTION

      
Application Number 18501500
Status Pending
Filing Date 2023-11-03
First Publication Date 2025-05-08
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Schaefferkoetter, Joshua
  • Hamill, James

Abstract

Systems and methods for reconstructing medical images based on motion estimation are disclosed. Measurement data from positron emission tomography (PET) measurement data, and modality measurement data from an anatomy modality, such as computed tomography (CT) data, is received from an image scanning system. A trained deep learning process is applied to the PET measurement data and the modality measurement data to generate displacement vector field (DVF) data characterizing motion between the PET measurement data and the modality measurement data. A modality image is reconstructed from the modality measurement data, and the modality image is adjusted based on the DVF data. A PET image is then reconstructed from the PET measurement data and the adjusted modality image, and the PET image is adjusted based on a computed inverse of the DVF data. The adjusted PET image and the modality image spatially match, and are displayed.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation

45.

METHODS AND APPARATUS FOR DEEP LEARNING BASED IMAGE RECONSTRUCTION

      
Application Number 18502338
Status Pending
Filing Date 2023-11-06
First Publication Date 2025-05-08
Owner
  • Siemens Medical Solutions USA, Inc. (USA)
  • The Trustees of The University of Pennsylvania (USA)
Inventor
  • Bharkhada, Deepak
  • Panin, Vladimir
  • Millardet, Mael

Abstract

Systems and methods for training end-to-end deep learning reconstruction processes, and for reconstructing medical images based on the trained deep learning processes, are disclosed. In some examples, input projection data is received. An untrained machine learning process is applied to the input projection data and, based on the application of the machine learning process to the projection data, an output image is generated. Further, a forward projection process is applied to the output image and, based on the application of the forward projection process to the output image, forward projected image data is generated. A loss value is then determined based on the forward projected image data and the input projection data. The loss value is then compared to a threshold value to determine whether the machine learning process is trained. The trained machine learning process may be employed to reconstruct images, such as positron emission tomography (PET) images.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation

46.

PET DATA DRIVEN CARDIAC QUIESCENT PERIOD EXTRACTION

      
Application Number US2023077852
Publication Number 2025/090083
Status In Force
Filing Date 2023-10-26
Publication Date 2025-05-01
Owner
  • SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
  • YALE UNIVERSITY (USA)
Inventor
  • Spottiswoode, Bruce
  • Hayden, Charles
  • Pigg, David
  • Liu, Chi

Abstract

Provided is a data driven approach for identifying the motion-free (or quiescent) period for imaging the heart. This timing information is not readily available from a conventional electrocardiogram (ECG) trace. The method identifies the motion-free period on a beat-by-beat basis.

IPC Classes  ?

  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 5/113 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing
  • A61B 6/03 - Computed tomography [CT]
  • A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications

47.

NUCLEAR MEDICINE SCAN SCHEDULER

      
Application Number 18682461
Status Pending
Filing Date 2023-02-28
First Publication Date 2025-05-01
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Shanker, Abhinav
  • Varghese, Noby

Abstract

A framework for scheduling nuclear medicine scanning. The framework may search a database for a patient record of a previous patient that is most similar to a current patient based on first patient and scan attributes associated with the current patient. The patient record of the most similar patient includes second patient and scan attributes. In response to the first scan procedure associated with the current patient matching the second scan procedure of the patient record, a scan duration may be predicted based on the patient record to generate a predicted scan duration for the current patient.

IPC Classes  ?

  • G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
  • A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

48.

METHODS AND APPARATUS FOR MULTI-SPATIAL GUIDED IMAGE RECONSTRUCTION

      
Application Number 18492113
Status Pending
Filing Date 2023-10-23
First Publication Date 2025-04-24
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Cabello, Jorge

Abstract

Systems and methods for reconstructing medical images are disclosed. Measurement data from positron emission tomography (PET) data, and measurement data from an anatomy modality, such as magnetic resonance (MR) data, is received from an image scanning system. A PET image is generated based on the PET measurement data, and a plurality of anatomy images are generated based on the anatomy measurement data. The plurality of anatomy images include voxels of differing spatial resolutions. A multi-spatial image reconstruction process is applied to the PET measurement data and the plurality of anatomy images. Based on the application of the image reconstruction process, image volume data characterizing a reconstructed medical image is generated. The reconstructed medical image may be displayed to a medical professional for diagnosis.

IPC Classes  ?

  • G06T 15/08 - Volume rendering
  • G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
  • G06T 7/38 - Registration of image sequences

49.

SWITCHED CAPACITOR FOR ELASTICITY MODE IMAGING WITH ULTRASOUND

      
Application Number 18987621
Status Pending
Filing Date 2024-12-19
First Publication Date 2025-04-17
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Petersen, David A.
  • Hewitt, Robert A.

Abstract

The power supply in ultrasound imaging includes a switched capacitance. The capacitance is switched on to provide power during generation of pushing pulses for elasticity imaging and is switched off during other modes of imaging.

IPC Classes  ?

  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves

50.

GANTRY TUBE FOR MAGNETIC RESONANCE/POSITRON EMISSION TOMOGRAPHY IMAGING SYSTEM

      
Application Number 18961651
Status Pending
Filing Date 2024-11-27
First Publication Date 2025-04-03
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Eberler, Ludwig
  • Corbeil, James L.
  • Schramm, Martin
  • Stocker, Stefan

Abstract

A gantry tube for a magnetic resonance/positron emission tomography imaging system. The gantry tube includes a first tube located within a second tube, wherein the first tube is oriented about a longitudinal axis of the system. The gantry tube also includes a plurality of wall elements that extend between the first and second tubes, wherein the walls and first and second tubes form a plurality of channels that extend in an axial direction substantially parallel to the longitudinal axis wherein each channel is configured to hold a PET detector of the imaging system. A PET detector is inserted into or removed from an associated channel in an axial direction from either a first end or a second end of the gantry tube.

IPC Classes  ?

  • G01R 33/48 - NMR imaging systems
  • G01R 33/422 - Screening of the radiofrequency field
  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beamMeasurement of spatial distribution of radiation

51.

VIEW-BASED ROBOTIC INTRA-CARDIAC CATHETER GUIDANCE

      
Application Number 18474287
Status Pending
Filing Date 2023-09-26
First Publication Date 2025-03-27
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Collins, Jarrod
  • Kim, Young-Ho
  • Mansi, Tommaso
  • Piat, Sebastien

Abstract

For view-dependent control, different desired imaging catheter views are defined. A robotic catheter system may alter from one view to another view based on activation but otherwise hands-free by the operator. This pre-definition of views and swapping views intra-operatively provides procedure monitoring information while avoiding radiation and minimizing interruption of the procedure (e.g., needle placement and puncture).

IPC Classes  ?

  • A61M 25/01 - Introducing, guiding, advancing, emplacing or holding catheters
  • A61B 8/12 - Diagnosis using ultrasonic, sonic or infrasonic waves in body cavities or body tracts, e.g. by using catheters
  • A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
  • A61B 34/30 - Surgical robots

52.

MULTISCALE SUBNETWORK FUSION WITH ADAPTIVE DATA SAMPLING FOR BRAIN LESION DETECTION AND SEGMENTATION

      
Application Number 18469760
Status Pending
Filing Date 2023-09-19
First Publication Date 2025-03-20
Owner
  • Siemens Medical Solutions USA, Inc. (USA)
  • The Regents of The University of Michigan (USA)
Inventor
  • Yoo, Youngjin
  • Gibson, Eli
  • Cao, Yue
  • Balter, James Michael

Abstract

Systems and methods for segmenting one or more lesions from medical image patches are provided. An input medical image patch depicting one or more lesions is received. The one or more lesions are segmented from the input medical image patch using a plurality of machine learning based segmentation networks to respectively generate a plurality of initial segmentation masks. Each of the plurality of machine learning based segmentation networks is trained to segment lesions from patches with a different field of view size. A final segmentation mask of the one or more lesions is generated based on the plurality of initial segmentation masks. The final segmentation mask of the one or more lesions is output.

IPC Classes  ?

53.

ROBUST VIEW CLASSIFICATION AND MEASUREMENT IN ULTRASOUND IMAGING

      
Application Number 18969359
Status Pending
Filing Date 2024-12-05
First Publication Date 2025-03-20
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Neumann, Dominik
  • Mansoor, Awais
  • Comanelea-Serban, Vlad
  • Grbic, Sasa
  • Selzo, Mallory
  • Milkowski, Andrzej

Abstract

For robust view classification and measurement estimation in sequential ultrasound imaging, the classification and/or measurements for a given image or sequence of images are gated. To prevent oscillation in results, the gating provides consistent output.

IPC Classes  ?

54.

LARGE LANGUAGE MODEL-BASED TRANSLATOR FOR MEDICAL IMAGING METADATA

      
Application Number 18631152
Status Pending
Filing Date 2024-04-10
First Publication Date 2025-03-13
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Vija, Alexander Hans
  • Massanes Basi, Francesc Dassis

Abstract

Systems and methods for converting medical imaging metadata from a first format to a second format are provided. Medical imaging metadata in a first format and instructions are received. The medical imaging metadata is converted from the first format to a second format based on the instructions using a machine learning based model. The medical imaging metadata in the second format is output.

IPC Classes  ?

  • G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
  • G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

55.

MULTI-SPECTRAL ZONAL RECONSTRUCTION FOR SPECT

      
Application Number US2023032283
Publication Number 2025/053849
Status In Force
Filing Date 2023-09-08
Publication Date 2025-03-13
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor Vija, Alexander Hans

Abstract

For SPECT reconstruction, zonal reconstruction is provided intra-modally. Rather than or in addition to using CT for structure, SPECT data from one energy may be used to provide structural information or zones for another energy. The zonal reconstruction may be combined with model-based multi-energy image formation. Multi-spectral, zonal reconstruction is used as an intra-modal imaging approach.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 5/00 - Image enhancement or restoration
  • G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
  • A61B 6/03 - Computed tomography [CT]

56.

CALIBRATION OF ACTIVITY CONCENTRATION UPTAKE

      
Application Number 18459469
Status Pending
Filing Date 2023-09-01
First Publication Date 2025-03-06
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Vija, Alexander Hans
  • Massanes Basi, Francesc Dassis

Abstract

A framework for calibrating activity concentration uptake. The framework generates a pattern that represents a volume of interest. A three-dimensional (3D) phantom may be printed based on the pattern. Activity concentration uptake in the volume of interest may then be calibrated by using the 3D phantom.

IPC Classes  ?

57.

DISTRIBUTED MEDICAL IMAGE ACQUISITION

      
Application Number US2023070565
Publication Number 2025/048850
Status In Force
Filing Date 2023-07-20
Publication Date 2025-03-06
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Vija, Alexander Hans
  • Scheffel, Andrew

Abstract

A framework for distributed medical image acquisition. An optimal configuration of one or more mobile imaging systems to address a clinical task is determined. The one or more mobile imaging systems may be dispatched in accordance with the optimal configuration to perform medical image acquisition of a patient to generate medical image data. Image reconstruction may then be performed based on the medical image data.

IPC Classes  ?

58.

Partial Scan and Reconstruction for a Positron Emission Tomography System

      
Application Number 18906362
Status Pending
Filing Date 2024-10-04
First Publication Date 2025-02-20
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Burbar, Ziad
  • Hong, Inki
  • Siegel, Stefan B.

Abstract

A system to scan a region of a patient comprises performance of a positron emission tomography (PET) scan using a PET imaging system to acquire raw PET data comprising a plurality of coincidence events, the raw PET data comprising a first one or more portions corresponding to the region and a second one or more portions not corresponding to the region, determination of the first one or more portions corresponding to the region, and reconstruction of the raw PET data into a PET image of the region using only the first one or more portions of the raw PET data corresponding to the region.

IPC Classes  ?

  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 6/03 - Computed tomography [CT]
  • A61B 6/46 - Arrangements for interfacing with the operator or the patient

59.

CIRCUIT BOARD FOR AN IMAGING SYSTEM

      
Application Number EP2024067205
Publication Number 2025/036596
Status In Force
Filing Date 2024-06-20
Publication Date 2025-02-20
Owner
  • SIEMENS HEALTHINEERS AG (Germany)
  • SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Eberler, Ludwig
  • Judenhofer, Martin
  • Loope, Michael
  • Martius, Sebastian
  • Moor, Andrew Philip
  • Rösler, Manuela

Abstract

An imaging system comprising a magnetic resonance imaging system with a gradient coil (3) arrangement configured to produce a varying magnetic gradient field during operation, the medical imaging system comprising one or several printed circuit boards arranged such that they are within the magnetic gradient field of the magnetic resonance imaging system during operation, each circuit board having at least one conducting layer (6), in particular a copper layer, wherein at least one of the circuit boards comprises a mesh (7) of holes that spreads over at least a partial region of the conducting layer (6).

IPC Classes  ?

  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
  • A61B 5/00 - Measuring for diagnostic purposes Identification of persons
  • H05K 1/00 - Printed circuits
  • A61B 6/03 - Computed tomography [CT]

60.

REGION-BASED MOTION CORRECTION USING EXTRA MODAL INFORMATION FOR SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY

      
Application Number US2023071978
Publication Number 2025/034238
Status In Force
Filing Date 2023-08-10
Publication Date 2025-02-13
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Vija, Alexander Hans
  • Reymann, Maximilian

Abstract

For correction of motion in single photon emission computed tomography (SPECT) imaging, extra modal information is used to delineate different regions in a patient. Motion in these different regions as reflected in SPECT data is determined. These regional motions are used for motion correction. Statistical measurements for the SPECT data of the different regions may be used to weight the regional motions.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06T 5/00 - Image enhancement or restoration
  • G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment

61.

IMAGE CLASSIFICATION-DEPENDENT USER INTERFACE IN ULTRASOUND IMAGING

      
Application Number 18811844
Status Pending
Filing Date 2024-08-22
First Publication Date 2025-02-13
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Guracar, Ismayil M.
  • Rao, Bimba
  • Wolverton, Cynthia

Abstract

For a classification-dependent user interface in ultrasound imaging with an ultrasound scanner, the ultrasound scanner classifies a view represented in an image. The user interface changes according to the view, allowing one or a few user inputs to be used for different user options or behavior combinations appropriate for the classified anatomy. The context from imaging alters the behavior of a given user input element of the user interface.

IPC Classes  ?

  • A61B 8/08 - Clinical applications
  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
  • G06F 18/24 - Classification techniques
  • G06N 3/08 - Learning methods
  • G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

62.

MEAN RANDOMS ESTIMATION FROM LIST MODE DATA

      
Application Number 18933042
Status Pending
Filing Date 2024-10-31
First Publication Date 2025-02-13
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Panin, Vladimir
  • Aykac, Mehmet

Abstract

Systems and methods to estimate mean randoms include acquisition of list mode data describing true coincidences and delay coincidences detected during a scan of an object, determination of a plurality of time periods of the scan based on a distance moved by a bed supporting the object during each of the plurality of time periods, determination, for each crystal and for each of time period, of delay coincidences including the crystal based on the list mode data, determination, for each crystal, of a singles rate associated with each time period based on the delay coincidences determined for the crystal over the time period, determination, for each time period, of estimated mean randoms for each crystal pair based on the singles rate associated with the time period, and reconstruction of an image of the object based on the estimated mean randoms for each time period and the detected true coincidences.

IPC Classes  ?

  • G01T 1/164 - Scintigraphy
  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beamMeasurement of spatial distribution of radiation
  • G01T 1/36 - Measuring spectral distribution of X-rays or of nuclear radiation
  • G06T 11/00 - 2D [Two Dimensional] image generation

63.

PATIENT HANDLING SYSTEMS FOR MEDICAL IMAGING APPARATUS

      
Application Number US2024013915
Publication Number 2025/034249
Status In Force
Filing Date 2024-02-01
Publication Date 2025-02-13
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Knodt, Konstantin
  • Neuber, Wolfgang
  • Stock, Johannes
  • Baumann, Berthold

Abstract

A patient handling systems (PHS) for medical imaging apparatus positions a patient on a patient bed in and out of an imaging field of view. A trolley carrying the patient bed translates linearly on a frame. The weight load of the patient bed is transferred to the frame along a load direction. The system incorporates a linear motor, having a rotor coupled to the trolley and a linear stator coupled to the frame in mutually opposed orientation, separated by a motor gap. The system also incorporates a linear motion encoder, having a sensing head coupled to the trolley and a linear encoder tape coupled to the frame in mutually opposed orientation, separated by a sensor gap. Both the motor and sensor gaps are oriented parallel to the weight load direction, to reduce likelihood of either gap variation attributable to load deflection of the frame.

IPC Classes  ?

  • A61B 6/04 - Positioning of patientsTiltable beds or the like
  • A61B 5/00 - Measuring for diagnostic purposes Identification of persons

64.

MEDICAL IMAGE SYNTHESIS

      
Application Number 18365278
Status Pending
Filing Date 2023-08-04
First Publication Date 2025-02-06
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Zhao, Gengyan
  • Gibson, Eli
  • Mailhe, Boris
  • Yoo, Youngjin
  • Georgescu, Bogdan
  • Comaniciu, Dorin

Abstract

A system for synthesizing medical images including synthesizing medical abnormalities has multiple diffusion model based denoising stages. At a first denoising stage, a machine-learned network denoises a first noise input to obtain an abnormality spatial mask detailing positional and structural characteristics of the synthesized medical abnormality. At a second denoising stage, a machine-learned network denoises a second noise input based on the abnormality spatial mask and a pre-abnormality image to obtain a synthesized medical image that corresponds to the pre-abnormality image with the synthesized medical abnormality inserted consistent with the abnormality spatial mask.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06T 5/00 - Image enhancement or restoration
  • G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

65.

CONTINUOUSLY MONITORED REMOTE POWER SHUTDOWN

      
Application Number 18912672
Status Pending
Filing Date 2024-10-11
First Publication Date 2025-01-30
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Arnsdorff, Carl Eric
  • Hurrell, Ryan
  • Sexton, Garrett

Abstract

A framework for continuously monitored remote power shutdown. In accordance with one aspect, a monitoring circuit is coupled to a power removal circuit. The monitoring includes an impedance device and a current detection device coupled to the impedance device. The current detection device generates an output signal indicative of circuit integrity of the power removal circuit.

IPC Classes  ?

  • H02H 3/08 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection responsive to excess current
  • H02H 1/00 - Details of emergency protective circuit arrangements

66.

DEEP LEARNING FOR REGISTERING ANATOMICAL TO FUNCTIONAL IMAGES

      
Application Number 18918677
Status Pending
Filing Date 2024-10-17
First Publication Date 2025-01-30
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Schaefferkoetter, Joshua

Abstract

A framework for registering anatomical to functional images using deep learning. In accordance with one aspect, the framework extracts features by applying an anatomical image and a corresponding functional image as input to a first trained convolutional neural network. A deformation field is estimated by applying the extracted features as input to a second trained convolutional neural network. The deformation field may then be applied to the anatomical image to generate a registered anatomical image.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
  • G06T 7/30 - Determination of transform parameters for the alignment of images, i.e. image registration
  • G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components

67.

MULTI-PLANE-BASED CARDIAC WALL MOTION DETECTION IN MEDICAL ULTRASOUND

      
Application Number 18352577
Status Pending
Filing Date 2023-07-14
First Publication Date 2025-01-16
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Tek, Huseyin

Abstract

To improve the data quality in detecting cardiac wall motion, regions of abnormal wall motion are detected from a view. The scan settings are then changed to focus scanning on each region, providing improved data such as data with more speckle being present. The scan settings may include changing an orientation of the scan plane, reducing out-of-plane motion, and/or increasing speckle content. The improved data is used to more accurately determine strain.

IPC Classes  ?

  • A61B 8/08 - Clinical applications
  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves

68.

NOISE ATTENUATION FOR NUCLEAR IMAGING SYSTEM

      
Application Number US2023069743
Publication Number 2025/014508
Status In Force
Filing Date 2023-07-07
Publication Date 2025-01-16
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Mcbryde, Christopher
  • Glasscock, Kellen John
  • Keller, John

Abstract

Provided is a cooling fan assembly for a nuclear imaging system where the fan assembly can include a fan, an air inlet opening, an air outlet opening, and a honeycomb structured sheet mounted across the air inlet opening, whereby when the fan is in operation and air is flowing through the air inlet opening, the honeycomb structured sheet facilitates laminar flow of the air at the air inlet opening and attenuates acoustic noise generated by the fan.

IPC Classes  ?

  • F24F 13/08 - Air-flow control members, e.g. louvres, grilles, flaps or guide plates
  • F24F 13/24 - Means for preventing or suppressing noise
  • F02C 7/045 - Air intakes for gas-turbine plants or jet-propulsion plants having provisions for noise suppression
  • F02C 7/055 - Air intakes for gas-turbine plants or jet-propulsion plants having provisions for obviating the penetration of damaging objects or particles with intake grids, screens or guards

69.

PARTIALLY-GATED PET IMAGING

      
Application Number 18886012
Status Pending
Filing Date 2024-09-16
First Publication Date 2025-01-09
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Hu, Jicun
  • Restivo, Matthew
  • Hong, Inki
  • Panin, Vladimir
  • Kehren, Frank
  • Casey, Michael E.

Abstract

Systems and methods to partially-gate PET data include acquisition of first data describing a plurality of coincidences detected during a scan of an object, each of the plurality of coincidences associated with a coincidence time and a line of response, determination of lines of response which pass through a region of the object, determination of time periods of motion of the region, modification of the first data to remove coincidences which are associated with the determined lines of response and which are associated with coincidence time during the determined time periods of motion of the region, reconstruction of an image of the object based on the modified first data, and display of the image.

IPC Classes  ?

  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beamMeasurement of spatial distribution of radiation
  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 6/03 - Computed tomography [CT]
  • G06T 11/00 - 2D [Two Dimensional] image generation

70.

PSMA Imaging Agents

      
Application Number 18809687
Status Pending
Filing Date 2024-08-20
First Publication Date 2024-12-26
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Wang, Eric
  • Kolb, Hartmuth C.
  • Szardenings, Anna Katrin
  • Liu, Changhui
  • Walsh, Joseph C.
  • Chen, Gang
  • Sinha, Anjana
  • Kasi, Dhanalakshmi
  • Yu, Chul
  • Gangadharmath, Umesh B.
  • Zhang, Wei
  • Zhao, Tieming
  • Mocharla, Vani P.

Abstract

Compounds for targeting and agents for imaging, prostate-specific membrane antigen (PSMA) are disclosed. Methods of synthesizing compounds and imaging agents, as well as methods for imaging PSMA are also disclosed. The imaging agents disclosed are suitable for PET and SPECT imaging.

IPC Classes  ?

  • C07K 5/02 - Peptides having up to four amino acids in a fully defined sequenceDerivatives thereof containing at least one abnormal peptide link
  • A61K 38/00 - Medicinal preparations containing peptides
  • A61K 51/04 - Organic compounds
  • A61K 51/08 - Peptides, e.g. proteins
  • C07D 207/16 - Carbon atoms having three bonds to hetero atoms with at the most one bond to halogen, e.g. ester or nitrile radicals
  • C07D 209/48 - Iso-indolesHydrogenated iso-indoles with oxygen atoms in positions 1 and 3, e.g. phthalimide
  • C07D 213/81 - AmidesImides
  • C07D 213/82 - AmidesImides in position 3
  • C07D 233/78 - Radicals substituted by oxygen atoms
  • C07D 233/96 - Heterocyclic compounds containing 1,3-diazole or hydrogenated 1,3-diazole rings, not condensed with other rings having three double bonds between ring members or between ring members and non-ring members
  • C07D 239/60 - Three or more oxygen or sulfur atoms
  • C07D 249/04 - 1,2,3-TriazolesHydrogenated 1,2,3-triazoles
  • C07D 249/06 - 1,2,3-TriazolesHydrogenated 1,2,3-triazoles with aryl radicals directly attached to ring atoms
  • C07D 251/30 - Only oxygen atoms
  • C07D 263/34 - Heterocyclic compounds containing 1,3-oxazole or hydrogenated 1,3-oxazole rings not condensed with other rings having two or three double bonds between ring members or between ring members and non-ring members with hetero atoms or with carbon atoms having three bonds to hetero atoms with at the most one bond to halogen, e.g. ester or nitrile radicals, directly attached to ring carbon atoms
  • C07D 277/56 - Carbon atoms having three bonds to hetero atoms with at the most one bond to halogen
  • C07D 401/12 - Heterocyclic compounds containing two or more hetero rings, having nitrogen atoms as the only ring hetero atoms, at least one ring being a six-membered ring with only one nitrogen atom containing two hetero rings linked by a chain containing hetero atoms as chain links
  • C07D 403/06 - Heterocyclic compounds containing two or more hetero rings, having nitrogen atoms as the only ring hetero atoms, not provided for by group containing two hetero rings linked by a carbon chain containing only aliphatic carbon atoms
  • C07D 403/12 - Heterocyclic compounds containing two or more hetero rings, having nitrogen atoms as the only ring hetero atoms, not provided for by group containing two hetero rings linked by a chain containing hetero atoms as chain links
  • C07D 405/12 - Heterocyclic compounds containing both one or more hetero rings having oxygen atoms as the only ring hetero atoms, and one or more rings having nitrogen as the only ring hetero atom containing two hetero rings linked by a chain containing hetero atoms as chain links
  • C07K 5/062 - Dipeptides the side chain of the first amino acid being acyclic, e.g. Gly, Ala
  • C07K 5/072 - Dipeptides the side chain of the first amino acid containing more carboxyl groups than amino groups, or derivatives thereof, e.g. Asp, Glu, Asn

71.

A METHOD FOR ORTHO-POSITRONIUM DETECTION AND IMAGING USING A TIME-OF-FLIGHT POSITRON EMISSION TOMOGRAPH

      
Application Number US2023068702
Publication Number 2024/263187
Status In Force
Filing Date 2023-06-20
Publication Date 2024-12-26
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor Steinberger, William

Abstract

A device for measuring the health of a tissue and a method of use. The device includes a plurality of sensors for detecting an event related to decay of a positron emitted from a pharmaceutical radionuclide in the tissue, and a processor. The processor measures a first count rate indicative of three photon emission related to a first decay mode of the positron, measures a second count rate indicative of two photon emission related to a second decay mode of the positron, applies a scatter correction factor to each of the first count rate and the second count rate to account for scattered and attenuated annihilation photons in the tissue, determines a ratio of the first count rate to the second count rate, determine a decay lifetime for ortho-positronium (o-Ps) based on the ratio, and determines the health of the tissue based on the decay lifetime for o-Ps.

IPC Classes  ?

  • A61B 6/03 - Computed tomography [CT]
  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beamMeasurement of spatial distribution of radiation

72.

PET IMAGING USING MULTIPLE ORGAN SPECIFIC SHORT CT SCANS

      
Application Number 18817318
Status Pending
Filing Date 2024-08-28
First Publication Date 2024-12-19
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Bal, Girish
  • Kehren, Frank

Abstract

A method of minimizing a patient's exposure to CT scan radiation during the mu-map generation process in a long axial field of view (FOV) PET scan includes performing a long axial FOV PET scan on a patient; performing one or multiple truncated FOV CT scan of a region in the patient's body in which the organs of interest lies; generating a truncated mu-map covering the truncated CT FOV; and generating a mu-map for the whole long axial FOV of the PET scan by extending the truncated mu-map generated from the truncated FOV CT scan by estimating the missing mu-map data using the PET data.

IPC Classes  ?

  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 6/03 - Computed tomography [CT]
  • G06T 11/00 - 2D [Two Dimensional] image generation

73.

INTERPOSER FOR SEMICONDUCTOR-BASED SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY DETECTOR

      
Application Number 18697550
Status Pending
Filing Date 2021-12-01
First Publication Date 2024-12-12
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Sanpitak, Patanit
  • Rodrigues, Miesher
  • Caruba, James Frank

Abstract

For testing or production of a semiconductor-based detector in SPECT, an interposer, such as elastomeric device with conductors, is sandwiched between a carrier and the semiconductor detector. The conductors allow for temporary separate connections of detector electrodes to signal processing circuitry, providing for testing of the detector operating with the signal processing circuitry. The interposer provides separate electrical connections for testing but may also be used in a final, fully integrated detector for use in a SPECT system.

IPC Classes  ?

74.

PSMA Imaging Agents

      
Application Number 18809625
Status Pending
Filing Date 2024-08-20
First Publication Date 2024-12-12
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Wang, Eric
  • Kolb, Hartmuth C.
  • Szardenings, Anna Katrin
  • Liu, Changhui
  • Walsh, Joseph C.
  • Chen, Gang
  • Sinha, Anjana
  • Kasi, Dhanalakshmi
  • Yu, Chul
  • Gangadharmath, Umesh B.
  • Zhang, Wei
  • Zhao, Tieming
  • Mocharla, Vani P.

Abstract

Compounds for targeting and agents for imaging, prostate-specific membrane antigen (PSMA) are disclosed. Methods of synthesizing compounds and imaging agents, as well as methods for imaging PSMA are also disclosed. The imaging agents disclosed are suitable for PET and SPECT imaging.

IPC Classes  ?

  • C07K 5/02 - Peptides having up to four amino acids in a fully defined sequenceDerivatives thereof containing at least one abnormal peptide link
  • A61K 38/00 - Medicinal preparations containing peptides
  • A61K 51/04 - Organic compounds
  • A61K 51/08 - Peptides, e.g. proteins
  • C07D 207/16 - Carbon atoms having three bonds to hetero atoms with at the most one bond to halogen, e.g. ester or nitrile radicals
  • C07D 209/48 - Iso-indolesHydrogenated iso-indoles with oxygen atoms in positions 1 and 3, e.g. phthalimide
  • C07D 213/81 - AmidesImides
  • C07D 213/82 - AmidesImides in position 3
  • C07D 233/78 - Radicals substituted by oxygen atoms
  • C07D 233/96 - Heterocyclic compounds containing 1,3-diazole or hydrogenated 1,3-diazole rings, not condensed with other rings having three double bonds between ring members or between ring members and non-ring members
  • C07D 239/60 - Three or more oxygen or sulfur atoms
  • C07D 249/04 - 1,2,3-TriazolesHydrogenated 1,2,3-triazoles
  • C07D 249/06 - 1,2,3-TriazolesHydrogenated 1,2,3-triazoles with aryl radicals directly attached to ring atoms
  • C07D 251/30 - Only oxygen atoms
  • C07D 263/34 - Heterocyclic compounds containing 1,3-oxazole or hydrogenated 1,3-oxazole rings not condensed with other rings having two or three double bonds between ring members or between ring members and non-ring members with hetero atoms or with carbon atoms having three bonds to hetero atoms with at the most one bond to halogen, e.g. ester or nitrile radicals, directly attached to ring carbon atoms
  • C07D 277/56 - Carbon atoms having three bonds to hetero atoms with at the most one bond to halogen
  • C07D 401/12 - Heterocyclic compounds containing two or more hetero rings, having nitrogen atoms as the only ring hetero atoms, at least one ring being a six-membered ring with only one nitrogen atom containing two hetero rings linked by a chain containing hetero atoms as chain links
  • C07D 403/06 - Heterocyclic compounds containing two or more hetero rings, having nitrogen atoms as the only ring hetero atoms, not provided for by group containing two hetero rings linked by a carbon chain containing only aliphatic carbon atoms
  • C07D 403/12 - Heterocyclic compounds containing two or more hetero rings, having nitrogen atoms as the only ring hetero atoms, not provided for by group containing two hetero rings linked by a chain containing hetero atoms as chain links
  • C07D 405/12 - Heterocyclic compounds containing both one or more hetero rings having oxygen atoms as the only ring hetero atoms, and one or more rings having nitrogen as the only ring hetero atom containing two hetero rings linked by a chain containing hetero atoms as chain links
  • C07K 5/062 - Dipeptides the side chain of the first amino acid being acyclic, e.g. Gly, Ala
  • C07K 5/072 - Dipeptides the side chain of the first amino acid containing more carboxyl groups than amino groups, or derivatives thereof, e.g. Asp, Glu, Asn

75.

ATTENUATION CORRECTION FOR MEDICAL IMAGING

      
Application Number US2023068163
Publication Number 2024/253692
Status In Force
Filing Date 2023-06-09
Publication Date 2024-12-12
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Schaefferkoetter, Joshua
  • Casey, Michael E.
  • Hayden, Charles

Abstract

A framework for attenuation correction. An attenuation map may be generated by applying a non-attenuation corrected emission image to one or more trained artificial neural networks. Attenuation correction may be performed on the non-attenuation corrected emission image by using the attenuation map.

IPC Classes  ?

76.

Feedback cooling system for an imaging system

      
Application Number 18262755
Grant Number 12329557
Status In Force
Filing Date 2021-06-30
First Publication Date 2024-12-12
Grant Date 2025-06-17
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Burbar, Ziad
  • Keller, John

Abstract

A cooling system for cooling a component of an imaging system located in a scan room. The system includes inlet, outlet and return channels. A portion of warm outlet air from a component outlet flows in the return channel to provide warm recirculated air to a mixing zone in the inlet channel. A fan located in the inlet channel draws scan room air into the inlet channel to mix with the warm recirculated air in the mixing zone to form mixed air that flows over the component to cool the component and wherein the mixed air absorbs heat that warms the mixed air to form the warm outlet air. A valve located in the return channel restricts or allows additional warm recirculated air to flow to the mixing zone to mix with the scan room air to maintain a desired control temperature for the cooling system.

IPC Classes  ?

  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 6/03 - Computed tomography [CT]

77.

METHODS AND APPARATUS FOR SYNTHETIC COMPUTED TOMOGRAPHY IMAGE GENERATION

      
Application Number 18327241
Status Pending
Filing Date 2023-06-01
First Publication Date 2024-12-05
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Shah, Vijay
  • Partin, Lauren

Abstract

Systems and methods for generating attenuation maps for reconstructing medical images are disclosed. In some examples, measurement data, such as positron emission tomography (PET) data or single-photon emission computed tomography (SPECT) data, is received for a subject. A machine learning process is applied to the measurement data to generate initial synthetic images for multiple values of an imaging parameter. Further, patient data is received and classified to determine an object imaged with the subject. A second medical image is selected that includes the object, and a region-of-interest (ROI) of the initial synthetic images is determined. Further, based on the ROI an anatomical mask is generated for each initial synthetic image. A second image-to-image network process is applied to the patient data, the second medical image, a portion of each initial synthetic image that includes the ROI, and the corresponding anatomical mask to generate a final synthetic image.

IPC Classes  ?

78.

POSITRON RANGE CORRECTION

      
Application Number 18698155
Status Pending
Filing Date 2023-04-24
First Publication Date 2024-12-05
Owner
  • Siemens Medical Solutions USA, Inc. (USA)
  • Ottawa Heart Institute Research Corporation (Canada)
Inventor
  • Casey, Michael E.
  • Dekemp, Robert

Abstract

A system and method include acquisition of emission data from an object while a radioactive tracer is present in the object, determination of first parameters of a first Gaussian distribution representing a positron range distribution of the radioactive tracer, determination of second parameters of a second Gaussian distribution associated with imaging characteristics of the imaging system, generation of a system matrix based on the first parameters and the second parameters, reconstruction of a three-dimensional image based on the emission data and the system matrix, and display of the three-dimensional image.

IPC Classes  ?

  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beamMeasurement of spatial distribution of radiation
  • G06T 11/00 - 2D [Two Dimensional] image generation

79.

ASYMMETRIC THERMAL FIELDS FOR EXCLUDING IMPURITIES IN SINGLE CRYSTAL MANUFACTURING DEVICE

      
Application Number 18792776
Status Pending
Filing Date 2024-08-02
First Publication Date 2024-12-05
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Andreaco, Mark
  • Cohen, Peter

Abstract

Disclosed herein is a furnace and a method of growing a high temperature oxide crystal. The furnace includes a cylindrical furnace wall, an induction coil disposed within the cylindrical furnace wall, a quartz tube disposed within the induction coil, a refractory lining disposed within the quartz tube, and a crucible disposed within the refractory lining, the crucible including a melt therein. A lid placed on the crucible. An asymmetric configuration of at least one of the crucible, the refractory lining, the quartz tube, the induction coil and the lid within the cylindrical furnace wall creates a thermal gradient that causes a cold spot in the melt to migrate from a first location to a second location of the melt. A rod having a seed crystal at an end thereof is lowered into the crucible to draw a boule from the melt via the seed crystal from the first location.

IPC Classes  ?

80.

SCINTILLATOR CRYSTALS, METHODS OF MANUFACTURE THEREOF AND ARTICLES COMPRISING THE SAME

      
Application Number US2023067659
Publication Number 2024/248850
Status In Force
Filing Date 2023-05-31
Publication Date 2024-12-05
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Andreaco, Mark
  • Cohen, Peter

Abstract

2(1-a-b-c-d)2a2b2c 2d(1-x+y)y5(1-z), 5(1-z), wherein Lu is lutetium; A comprises a trivalent ionic substitution selected from La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Sc, Y, Al, Ga, B, In, Bi, Sb, Au, Rh, or a combination thereof; B comprises a non-trivalent ionic substitution selected from Mg, Ca, Sr, Ba, Li, Na, K, Rb, Mn, Cu, Zn, or a combination thereof; C comprises an activating cation substitution selected from Ce3+, Ce4+, Pr3+, or a combination thereof; D comprises a monovalent halogen anion substitution selected from F, Cl, Br, or a combination thereof; E comprises a trivalent ion substitution selected from La, Sc, Y, Al, Ga, In, B, In, Bi, Sb, Au, Rh, or any combination of thereof.

IPC Classes  ?

  • G01T 1/202 - Measuring radiation intensity with scintillation detectors the detector being a crystal
  • C09K 11/77 - Luminescent, e.g. electroluminescent, chemiluminescent, materials containing inorganic luminescent materials containing rare earth metals
  • C30B 29/34 - Silicates
  • C30B 15/00 - Single-crystal growth by pulling from a melt, e.g. Czochralski method

81.

Fins on crucible or gussets on refractory lining for facilitating exclusion of impurities from a boule

      
Application Number 18326342
Grant Number 12404600
Status In Force
Filing Date 2023-05-31
First Publication Date 2024-12-05
Grant Date 2025-09-02
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Cohen, Peter
  • Marlar, Troy
  • Andreaco, Mark

Abstract

A furnace and a method of growing a high temperature oxide crystal in the furnace. The furnace includes a crucible having a melt therein and a heating element for generating heat in the melt. A thermal element within the furnace produces a thermal gradient within the melt to draw a cold spot of a convection cell of the melt away from a seed location of the crucible. A seed crystal is drawn from the melt at the seed location to form a boule to grow the high temperature oxide crystal.

IPC Classes  ?

82.

FINS ON CRUCIBLE OR GUSSETS ON REFRACTORY LINING FOR FACILITATING EXCLUSION OF IMPURITIES FROM A BOULE

      
Application Number US2024016987
Publication Number 2024/248906
Status In Force
Filing Date 2024-05-01
Publication Date 2024-12-05
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Cohen, Peter
  • Marlar, Troy
  • Andreaco, Mark

Abstract

A furnace and a method of growing a high temperature oxide crystal in the furnace. The furnace includes a crucible having a melt therein and a heating element for generating heat in the melt. A thermal element within the furnace produces a thermal gradient within the melt to draw a cold spot of a convection cell of the melt away from a seed location of the crucible. A seed crystal is drawn from the melt at the seed location to form a boule to grow the high temperature oxide crystal.

IPC Classes  ?

  • C30B 35/00 - Apparatus not otherwise provided for, specially adapted for the growth, production or after-treatment of single crystals or of a homogeneous polycrystalline material with defined structure
  • C30B 11/00 - Single-crystal-growth by normal freezing or freezing under temperature gradient, e.g. Bridgman- Stockbarger method
  • C30B 15/20 - Controlling or regulating
  • C30B 15/30 - Mechanisms for rotating or moving either the melt or the crystal
  • C30B 29/22 - Complex oxides
  • C30B 15/10 - Crucibles or containers for supporting the melt

83.

ASYMMETRIC THERMAL FIELDS FOR EXCLUDING IMPURITIES IN SINGLE CRYSTAL MANUFACTURING DEVICE

      
Application Number US2024017005
Publication Number 2024/248907
Status In Force
Filing Date 2024-04-02
Publication Date 2024-12-05
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Andreaco, Mark
  • Cohen, Peter

Abstract

Disclosed herein is a furnace and a method of growing a high temperature oxide crystal. The furnace includes a cylindrical furnace wall, an induction coil disposed within the cylindrical furnace wall, a quartz tube disposed within the induction coil, a refractory lining disposed within the quartz tube, and a crucible disposed within the refractory lining, the crucible including a melt therein. A lid placed on the crucible. An asymmetric configuration of at least one of the crucible, the refractory lining, the quartz tube, the induction coil and the lid within the cylindrical furnace wall creates a thermal gradient that causes a cold spot in the melt to migrate from a first location to a second location of the melt. A rod having a seed crystal at an end thereof is lowered into the crucible to draw a boule from the melt via the seed crystal from the first location.

IPC Classes  ?

  • C30B 29/16 - Oxides
  • C30B 35/00 - Apparatus not otherwise provided for, specially adapted for the growth, production or after-treatment of single crystals or of a homogeneous polycrystalline material with defined structure
  • H05B 6/36 - Coil arrangements
  • C30B 15/10 - Crucibles or containers for supporting the melt
  • C30B 15/14 - Heating of the melt or the crystallised materials

84.

DEVICE FOR MANUFACTURING SCINTILLATORS, METHOD OF MANUFACTURE THEREOF

      
Application Number US2023067663
Publication Number 2024/248852
Status In Force
Filing Date 2023-05-31
Publication Date 2024-12-05
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor Andreaco, Mark

Abstract

Disclosed herein is a device for manufacturing a single crystal comprising a furnace that includes a furnace wall; a quartz tube disposed concentrically within the furnace wall; an induction coil disposed in an annulus between the quartz tube and the furnace wall; a crucible disposed at a bottom surface of the furnace within the quartz tube; where the crucible includes a wall extending upward from a bottom crucible surface; and a refractory lining being disposed in an annulus between the quartz tube and the crucible; where a portion of the refractory lining has a different composition, property, geometry, or a combination thereof from the remainder of the crucible.

IPC Classes  ?

  • C30B 35/00 - Apparatus not otherwise provided for, specially adapted for the growth, production or after-treatment of single crystals or of a homogeneous polycrystalline material with defined structure
  • C30B 15/10 - Crucibles or containers for supporting the melt
  • C30B 15/14 - Heating of the melt or the crystallised materials
  • H05B 6/36 - Coil arrangements
  • C30B 29/10 - Inorganic compounds or compositions

85.

MANUFACTURING CHAMBER INCLUDING QUICK CONNECT FIXTURES

      
Application Number 18321169
Status Pending
Filing Date 2023-05-22
First Publication Date 2024-11-28
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Marlar, Troy

Abstract

A crystal growth station includes a crystal pulling assembly having a rotatable pulling shaft and a furnace chamber having an internal area configured to hold a crystal growth chamber which is configured to receive the rotatable pulling shaft. The furnace chamber includes a cover configured to cover the crystal growth station and heating system configured to heat the internal area. At least one of the cover and the heating system includes at least one quick connect fixture.

IPC Classes  ?

  • C30B 15/14 - Heating of the melt or the crystallised materials
  • C30B 15/30 - Mechanisms for rotating or moving either the melt or the crystal

86.

CRYSTAL GROWTH STATION INCLUDING ADJUSTABLE CRYSTAL PULLING ASSEMBLY TO FACILITATE RAPID PRODUCTION

      
Application Number 18321185
Status Pending
Filing Date 2023-05-22
First Publication Date 2024-11-28
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Marlar, Troy

Abstract

A crystal growth station includes an adjustable crystal pulling system that implements an adjustment assembly and a motion head coupled to the adjustment assembly. The crystal growth station further includes a moveable furnace chamber configured to be displaced with respect to a docking area of the adjustable crystal pulling system. The adjustment assembly adjusts a position of the motion head with respect to the docking area.

IPC Classes  ?

  • C30B 15/30 - Mechanisms for rotating or moving either the melt or the crystal

87.

MANUFACTURING CHAMBER INCLUDING QUICK CONNECT FIXTURES

      
Application Number US2024016868
Publication Number 2024/242731
Status In Force
Filing Date 2024-02-22
Publication Date 2024-11-28
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor Marlar, Troy

Abstract

A crystal growth station includes a crystal pulling assembly having a rotatable pulling shaft and a furnace chamber having an internal area configured to hold a crystal growth chamber which is configured to receive the rotatable pulling shaft. The furnace chamber includes a cover configured to cover the crystal growth station and heating system configured to heat the internal area. At least one of the cover and the heating system includes at least one quick connect fixture.

IPC Classes  ?

  • C30B 15/14 - Heating of the melt or the crystallised materials
  • C30B 9/04 - Single-crystal growth from melt solutions using molten solvents by cooling of the solution
  • C30B 28/10 - Production of homogeneous polycrystalline material with defined structure from liquids by pulling from a melt
  • C30B 15/00 - Single-crystal growth by pulling from a melt, e.g. Czochralski method
  • C30B 15/10 - Crucibles or containers for supporting the melt
  • C30B 15/20 - Controlling or regulating
  • C30B 15/30 - Mechanisms for rotating or moving either the melt or the crystal
  • C30B 15/32 - Seed holders, e.g. chucks

88.

SMALL FOOTPRINT MULTI-USE SPECT SYSTEM

      
Application Number 18696527
Status Pending
Filing Date 2021-12-01
First Publication Date 2024-11-28
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Vija, Alexander Hans
  • Rodrigues, Miesher
  • Steibel, Dennis

Abstract

A system and method include generation of a first tomographic image of a subject based on first gamma rays detected by the detector while the detector is disposed at a first position with respect to the subject, generation of a second tomographic image of the subject based on second gamma rays detected by the detector while the detector is disposed at a second position with respect to the subject, identification of one or more structures of the subject depicted in the first tomographic image and the second tomographic image, and generation of a composite tomographic image based on the first tomographic image, the second tomographic image, and the identified one or more structures.

IPC Classes  ?

  • A61B 6/03 - Computed tomography [CT]
  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 6/46 - Arrangements for interfacing with the operator or the patient

89.

CRYSTAL GROWTH STATION INCLUDING ADJUSTABLE CRYSTAL PULLING ASSEMBLY TO FACILITATE RAPID PRODUCTION

      
Application Number US2024016997
Publication Number 2024/242732
Status In Force
Filing Date 2024-04-02
Publication Date 2024-11-28
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor Marlar, Troy

Abstract

A crystal growth station includes an adjustable crystal pulling system that implements an adjustment assembly and a motion head coupled to the adjustment assembly. The crystal growth station further includes a moveable furnace chamber configured to be displaced with respect to a docking area of the adjustable crystal pulling system. The adjustment assembly adjusts a position of the motion head with respect to the docking area.

IPC Classes  ?

  • C30B 15/30 - Mechanisms for rotating or moving either the melt or the crystal
  • C30B 15/32 - Seed holders, e.g. chucks
  • C30B 15/20 - Controlling or regulating

90.

DEVICE FOR MANUFACTURING SINGLE CRYSTALS AND METHOD OF USE THEREOF

      
Application Number US2023067277
Publication Number 2024/242705
Status In Force
Filing Date 2023-05-22
Publication Date 2024-11-28
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Andreaco, Mark
  • Marlar, Troy

Abstract

Disclosed herein is a device for producing a single crystal comprising a furnace, where the furnace comprises a furnace wall, a furnace base plate and a furnace cover; the furnace wall being disposed between the furnace base plate and the furnace cover; a growth chamber comprising an outer tube, a growth chamber bottom plate and a growth chamber top plate; where the furnace cover has an opening through which the growth chamber protrudes and where the growth chamber is operative to contain a crucible that contains a melt for manufacturing the single crystal; a pull rod that contacts the melt to produce a crystal boule; and a conduit disposed between the furnace wall and the outer tube of the growth chamber; where the conduit is operative to transport an inert gas through the furnace to heat the inert gas and to deposit the heated inert gas into the growth chamber.

IPC Classes  ?

  • C30B 29/34 - Silicates
  • C30B 29/28 - Complex oxides with formula A3Me5O12, wherein A is a rare earth metal and Me is Fe, Ga, Sc, Cr, Co or Al, e.g. garnets
  • C30B 27/02 - Single-crystal growth under a protective fluid by pulling from a melt

91.

PRESENTATION OF QUANTITATIVE MISMATCH BETWEEN ACQUIRED DATA SET AND DATA MODEL

      
Application Number US2023067155
Publication Number 2024/237949
Status In Force
Filing Date 2023-05-18
Publication Date 2024-11-21
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Vija, Alexander, Hans
  • Massanes Basi, Francesc Dassis
  • Hakl, Kevin, Scott

Abstract

A system and method includes identification of a first plurality of projection images of an object acquired by an imaging system, each of the first projection images associated with a respective one of a plurality of projection angles, reconstruction of a three-dimensional image of the object based on the first projection images, forward-projection of the three-dimensional image at the plurality of projection angles to generate second projection images, each of the second projection images associated with a respective one of the projection angles, determination of a first CDF image for a first one of the projection angles based on a first one of the first projection images a second one of the second projection images, determination of pixels of the first CDF image corresponding to differences, and combination of the determined pixels with the first one of the first projection images to generate a first combined image.

IPC Classes  ?

  • G06T 1/00 - General purpose image data processing
  • G06T 7/32 - Determination of transform parameters for the alignment of images, i.e. image registration using correlation-based methods
  • G06T 15/00 - 3D [Three Dimensional] image rendering

92.

VIEW SHUTTLING IN ROBOTIC STEERING OF A CATHETER

      
Application Number 18310004
Status Pending
Filing Date 2023-05-01
First Publication Date 2024-11-07
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Collins, Jarrod
  • Kim, Young-Ho
  • Mansi, Tommaso

Abstract

For robotically operating a catheter, a robotic catheter system controls navigation along a trajectory. The trajectory defines the movement, allowing the robotic catheter system to navigate the catheter with less or no user intervention. The catheter is controlled in a way allowing the operator focus less on the catheter, avoiding or limiting parking or retracting.

IPC Classes  ?

  • A61B 34/20 - Surgical navigation systemsDevices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B 8/08 - Clinical applications
  • A61B 8/12 - Diagnosis using ultrasonic, sonic or infrasonic waves in body cavities or body tracts, e.g. by using catheters
  • A61B 34/30 - Surgical robots

93.

EDGE ARRANGMENT FOR TILEABLE PIXELATED EMISSION SENSOR

      
Application Number 18683829
Status Pending
Filing Date 2021-11-16
First Publication Date 2024-10-31
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Vija, Alexander Hans
  • Rodrigues, Miesher

Abstract

For larger FOV in a gamma camera, multiple solid-state detectors are tiled. The edge pixels of the pixelated detectors are smaller than interior pixels so that the pitch of the pixels or anodes is constant across the tiled detectors. The constant pitch occurs where pairs of edge pixels combined from different detectors contribute the pitch or area of an interior pixel. As a result of this optimized edge pixel pairing and corresponding regular pitch across the tiles, the spectral and other performance is less degraded.

IPC Classes  ?

  • G01T 1/24 - Measuring radiation intensity with semiconductor detectors
  • A61B 6/42 - Arrangements for detecting radiation specially adapted for radiation diagnosis
  • H01L 27/146 - Imager structures

94.

METHOD AND SYSTEM FOR TESTING FUNCTIONALITY OF A SOFTWARE PROGRAM USING DIGITAL TWIN

      
Application Number 18683451
Status Pending
Filing Date 2021-08-30
First Publication Date 2024-10-24
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Andress, Keith
  • Daga, Saurav
  • Gnanamani, Murali Tharan
  • Hussain B, Tasheer
  • Naik, Sandesh

Abstract

A method and system are disclosed for testing functionality of a software program based on at least one modification to a software code of the software program. In one embodiment, the method includes: receiving software code of software program from one or more sources; identifying functions within the software code of the software program affected by the modification of software code; simulating the identified functions of the software program using digital twin; determining workflows of the software program based on the simulation of digital twin; identifying at least one impacted workflow from determined workflows based on one or more requirements of software program; and executing at least one impacted workflow critical to the functionality of the software program for testing the functionality of software program.

IPC Classes  ?

  • G06F 11/36 - Prevention of errors by analysis, debugging or testing of software

95.

ADAPTIVE CLUTTER FILTERING IN ACOUSTIC RADIATION FORCE-BASED ULTRASOUND IMAGING

      
Application Number 18755781
Status Pending
Filing Date 2024-06-27
First Publication Date 2024-10-17
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Rosenzweig, Stephen J.
  • Dodd, Stirling

Abstract

For clutter reduction in ultrasound elasticity imaging, the contribution of clutter to different frequency components (e.g., the transmit fundamental and the propagation generated second harmonic) is different. As a result, a difference in displacements determined at the different frequency bands is used to reduce clutter contribution to displacements used for elasticity imaging.

IPC Classes  ?

  • A61B 8/08 - Clinical applications
  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves

96.

ARTIFACT SEGMENTATION AND/OR UNIFORMITY ASSESSMENT OF A GAMMA CAMERA

      
Application Number 18297062
Status Pending
Filing Date 2023-04-07
First Publication Date 2024-10-10
Owner Siemens Medical Solutions (USA)
Inventor
  • Daga, Saurav
  • Saha, Sinjoy
  • Crawford, Timothy E.
  • Khan, Kausar
  • Morris, Brian

Abstract

For assessment of a gamma camera, segmentation of a flood image provides location and size information, providing information for different types of artifacts. A machine-learned model generates an assessment based on input features of the flood image and/or segmentation results. This assessment accounts for size, magnitude, location, and/or type of uniformity.

IPC Classes  ?

97.

Whole-Body Anatomical Digital Twin from Partial Medical Images

      
Application Number 18184889
Status Pending
Filing Date 2023-03-16
First Publication Date 2024-09-19
Owner Siemens Medical Solution USA, Inc. (USA)
Inventor
  • Teixeira, Brian
  • Chaganti, Shikha
  • Yu, Daphne
  • Kapoor, Ankur

Abstract

For generating and/or machine training to generate a whole-body representation of a patient, one or more partial-body scans or images of the patient are extrapolated to the whole-body representation of both interior and exterior anatomy. One or more machine-learned models (e.g., per-organ-group implicit generative shape models) fill the whole-body representation based on the partial information from imaging.

IPC Classes  ?

  • G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
  • G06T 7/00 - Image analysis

98.

PREDICTION OF MECHANICAL FAILURE

      
Application Number 18184958
Status Pending
Filing Date 2023-03-16
First Publication Date 2024-09-19
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Judenhofer, Martin

Abstract

A framework for predicting mechanical failure. The framework may acquire vibration data from the at least one vibration sensor in a medical device. The vibration data may be pre-processed to generated pre-processed data. An onset of failure of the medical device may then be predicted based on the pre-processed data.

IPC Classes  ?

  • A61B 6/03 - Computed tomography [CT]
  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment

99.

Separable Robotic Catheter Mechanism

      
Application Number 18576240
Status Pending
Filing Date 2022-08-09
First Publication Date 2024-09-19
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Debuys, Christian
  • Kim, Young-Ho
  • Mansi, Tommaso

Abstract

In a robotic or even manually controlled catheter, more direct connection of the force application (e.g., actuators) is provided from the handle to the tendons. The actuators are part of the handle. To avoid discarding the actuators after each use, the handle with the actuators is separable from a housing for the tendons. The housing for the tendons includes a clamp to hold the tendons in place prior to connecting with the handle and actuators.

IPC Classes  ?

100.

Asymmetric thermal fields for excluding impurities in single crystal manufacturing device

      
Application Number 18326374
Grant Number 12091770
Status In Force
Filing Date 2023-05-31
First Publication Date 2024-09-17
Grant Date 2024-09-17
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Andreaco, Mark
  • Cohen, Peter

Abstract

Disclosed herein is a furnace and a method of growing a high temperature oxide crystal. The furnace includes a cylindrical furnace wall, an induction coil disposed within the cylindrical furnace wall, a quartz tube disposed within the induction coil, a refractory lining disposed within the quartz tube, and a crucible disposed within the refractory lining, the crucible including a melt therein. A lid placed on the crucible. An asymmetric configuration of at least one of the crucible, the refractory lining, the quartz tube, the induction coil and the lid within the cylindrical furnace wall creates a thermal gradient that causes a cold spot in the melt to migrate from a first location to a second location of the melt. A rod having a seed crystal at an end thereof is lowered into the crucible to draw a boule from the melt via the seed crystal from the first location.

IPC Classes  ?

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