Siemens Medical Solutions USA, Inc.

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1.

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

2.

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

3.

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

4.

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

5.

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

6.

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

7.

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  ?

8.

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  ?

9.

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

10.

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]

11.

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  ?

12.

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  ?

13.

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

14.

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]

15.

REGISTRATION PHANTOM

      
Application Number 18793099
Status Pending
Filing Date 2024-08-02
First Publication Date 2025-02-13
Owner
  • Siemens Medical Solutions USA, Inc. (USA)
  • Siemens Healthineers AG (Germany)
Inventor
  • Ritter, Dieter
  • Zigann, Martin
  • Schleyer, Paul

Abstract

A phantom is suitable for registration of a plurality of modalities of a multimodality imaging system. The phantom comprises a plurality of markers, which are embedded in a holding structure. The plurality of markers can be placed in a vertical drilling of the holding structure. Furthermore, the plurality of markers may be arranged in the form of a helix. The markers may be placed in drillings of the holding structure, wherein the direction of the drillings is perpendicular to the axis of the helix.

IPC Classes  ?

  • A61B 6/58 - Testing, adjusting or calibrating thereof
  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
  • A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
  • G01R 33/58 - Calibration of imaging systems, e.g. using test probes

16.

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

17.

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

18.

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

19.

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

20.

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

21.

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

22.

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

23.

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

24.

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

25.

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

26.

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

27.

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

28.

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

29.

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  ?

30.

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

31.

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  ?

32.

Feedback Cooling System for an Imaging System

      
Application Number 18262755
Status Pending
Filing Date 2021-06-30
First Publication Date 2024-12-12
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]

33.

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

34.

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  ?

35.

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  ?

36.

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

37.

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

      
Application Number 18326342
Status Pending
Filing Date 2023-05-31
First 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  ?

38.

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

39.

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

40.

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

41.

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

42.

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

43.

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

44.

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

45.

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

46.

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

47.

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

48.

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

49.

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

50.

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

51.

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

52.

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  ?

53.

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  ?

54.

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

55.

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

56.

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  ?

57.

BIOGRAPH TRINION

      
Application Number 1809054
Status Registered
Filing Date 2024-07-10
Registration Date 2024-07-10
Owner Siemens Medical Solutions USA, Inc. (USA)
NICE Classes  ? 10 - Medical apparatus and instruments

Goods & Services

Nuclear medical diagnostic imaging apparatus.

58.

BIOGRAPH TRINION.X

      
Application Number 1809055
Status Registered
Filing Date 2024-07-10
Registration Date 2024-07-10
Owner Siemens Medical Solutions USA, Inc. (USA)
NICE Classes  ? 10 - Medical apparatus and instruments

Goods & Services

Nuclear medical diagnostic imaging apparatus.

59.

HELICALLY-ARRANGED POSITRON EMISSION TOMOGRAPHY DETECTOR UNITS

      
Application Number 18632604
Status Pending
Filing Date 2024-04-11
First Publication Date 2024-09-12
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Siegel, Stefan B.
  • Burbar, Ziad
  • Hong, Inki

Abstract

A detector unit for a PET imaging system is disclosed that includes a gantry having a patient-receiving tunnel, where the detector unit includes a plurality of detector elements in a helical arrangement around an axial axis of the PET imaging system.

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]
  • A61B 6/42 - Arrangements for detecting radiation specially adapted for radiation diagnosis
  • G01T 1/20 - Measuring radiation intensity with scintillation detectors

60.

UNINTERRUPTED COOLING SYSTEM FOR A DIAGNOSTIC MEDICAL IMAGING APPARATUS

      
Application Number US2023063910
Publication Number 2024/186346
Status In Force
Filing Date 2023-03-08
Publication Date 2024-09-12
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 dunng 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 6/03 - Computed tomography [CT]
  • A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment

61.

NUCLEAR MEDICINE SCAN SCHEDULER

      
Application Number US2023014040
Publication Number 2024/181965
Status In Force
Filing Date 2023-02-28
Publication Date 2024-09-06
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 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture

62.

MULTI-MODAL COMPTON AND SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY MEDICAL IMAGING SYSTEM

      
Application Number 18645561
Status Pending
Filing Date 2024-04-25
First Publication Date 2024-09-05
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Vija, Alexander Hans
  • Rodrigues, Miesher

Abstract

A multi-modality imaging system allows for selectable photoelectric effect and/or Compton effect detection. The camera or detector is a module with a catcher detector. Depending on the use or design, a scatter detector and/or a coded physical aperture are positioned in front of the catcher detector relative to the patient space. For low energies, emissions passing through the scatter detector continue through the coded aperture to be detected by the catcher detector using the photoelectric effect. Alternatively, the scatter detector is not provided. For higher energies, some emissions scatter at the scatter detector, and resulting emissions from the scattering pass by or through the coded aperture to be detected at the catcher detector for detection using the Compton effect. Alternatively, the coded aperture is not provided. The same module may be used to detect using both the photoelectric and Compton effects where both the scatter detector and coded aperture are provided with the catcher detector. Multiple modules may be positioned together to form a larger camera, or a module is used alone. By using modules, any number of modules may be used to fit with a multi-modality imaging system. One or more such modules may be added to another imaging system (e.g., CT or MR) for a multi-modality imaging 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 6/42 - Arrangements for detecting radiation specially adapted for radiation diagnosis
  • G01N 23/20066 - Measuring inelastic scattering of gamma rays, e.g. Compton effect
  • G01R 33/48 - NMR imaging systems

63.

LIVER DISEASE ACTIVITY ESTIMATION WITH ULTRASOUND MEDICAL IMAGING

      
Application Number 18645957
Status Pending
Filing Date 2024-04-25
First Publication Date 2024-09-05
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Labyed, Yassin

Abstract

For ultrasound-based estimation of histopathology scores or disease, a probability of disease, condition, or risk (e.g., high MASLD activity, MASH, or fibrotic MASH) is estimated rather than or in addition to determining an activity score (e.g., NAS). An estimate of the fat fraction alone or with other information (e.g., shear wave propagation) is used to estimate the probability. This probability may be useful for diagnosis, providing a conclusion that needs less interpretation by the physician.

IPC Classes  ?

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

64.

PHARMACEUTICAL FORMULATIONS

      
Application Number 18435245
Status Pending
Filing Date 2024-02-07
First Publication Date 2024-08-22
Owner
  • Blue Earth Diagnostics Limited (United Kingdom)
  • Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Bejot, Romain
  • Haka, Michael
  • Anzellotti, Atilio

Abstract

The present invention relates to a pharmaceutical composition comprising a radiohybrid agent containing a silicon-fluoride and a chelating group wherein either the fluorine is 18F or the chelating group contains a chelated radioactive metal, wherein the composition has a ph of 4.0-6.0 and further comprises: 0.1-200 mM citrate buffer; 1-100 mg/ml ethanol; and 5-10 mg/ml sodium chloride.

IPC Classes  ?

  • A61K 51/04 - Organic compounds
  • A61K 47/02 - Inorganic compounds
  • A61K 47/10 - AlcoholsPhenolsSalts thereof, e.g. glycerolPolyethylene glycols [PEG]PoloxamersPEG/POE alkyl ethers
  • A61K 47/12 - Carboxylic acidsSalts or anhydrides thereof

65.

MULTI-APPLICATION ULTRASOUND MATRIX ARRAY SIGNAL PROCESSOR

      
Application Number 18172579
Status Pending
Filing Date 2023-02-22
First Publication Date 2024-08-22
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Phelps, Robert
  • Petersen, David A.
  • Simpson, Terry E.
  • Miller, Steven

Abstract

Ultrasound imaging uses matrix arrays. A common design is used for an integrated circuit. The integrated circuit is programmable so that the same design of integrated circuit may be used with different types of arrays, such as matrix arrays with different pitches. The design allows for one element to connect with multiple, identical processing circuits of the signal processor.

IPC Classes  ?

  • 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

66.

Continuous bed motion acquisition with axially short phantom for PET imaging system setup and quality control

      
Application Number 18585354
Grant Number 12141898
Status In Force
Filing Date 2024-02-23
First Publication Date 2024-08-15
Grant Date 2024-11-12
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Panin, Vladimir
  • Aykac, Mehmet
  • Yan, Shikui
  • Kelly, Brian

Abstract

An improved method for time alignment (TA) procedure and crystal efficiency (CE) normalization estimation procedure for a PET scanner system is disclosed. In the TA procedure modeled time-of-flight (TOF) data are compared against the measured TOF data from an axially short cylinder phantom in order to find individual detector's time offsets (TOs). Then the TOs are estimated simultaneously by matching the TOF center of mass between the modeled and measured TOF data. In the CE estimation, TOF reconstruction of CBM data on the axially short cylinder phantom is performed. Alternating between TOF image reconstruction and CE updates eventually lead to the correct estimation of activity and CE component.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • A61B 6/03 - Computed tomography [CT]
  • G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing

67.

SHEAR WAVE IMAGING BASED ON ULTRASOUND WITH INCREASED PULSE REPETITION INTERVAL

      
Application Number 18605917
Status Pending
Filing Date 2024-03-15
First Publication Date 2024-07-25
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Labyed, Yassin

Abstract

For shear wave imaging with ultrasound, the apparent pulse repetition frequency is increased by combining displacements from different lateral locations. Different combinations based on different shear wave velocities and corresponding time shifts and/or attenuations and corresponding scalings are tested to find a smooth displacement profile for the combination. Once the smooth displacement profile is found, the corresponding shear wave velocity is estimated or determined.

IPC Classes  ?

68.

Artificial Intelligence-based Stroke Risk Prediction from Carotid Artery Imaging Information

      
Application Number 18323566
Status Pending
Filing Date 2023-05-25
First Publication Date 2024-07-25
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Passerini, Tiziano
  • El Sayed, Retta

Abstract

For predicting stroke risk, an artificial intelligence rapidly generates flow information from input of geometric parameters of a carotid of a patient. An image processor predicts the stroke risk from the flow information. In one approach, the values of the geometric parameters of the carotid of the patient are perturbed based on uncertainty. The artificial intelligence generates candidate flow information for each perturbation. The candidate flow information sufficiently matching a measurement of flow for the patient is used as the flow information for stroke risk prediction.

IPC Classes  ?

  • 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
  • G06T 7/00 - Image analysis
  • G06T 7/10 - SegmentationEdge detection
  • G06T 7/529 - Depth or shape recovery from texture

69.

MULTI-MODALITY NEURAL NETWORK FOR ALZHEIMER'S DISEASE CLASSIFCATION

      
Application Number 18558600
Status Pending
Filing Date 2021-10-12
First Publication Date 2024-07-11
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Sharma, Rishabh
  • Sibille, Ludovic
  • Fahmi, Rachid

Abstract

A neural network (16) operating on volume data and using convolutional layers (24) may better classify conversion or Alzheimer's disease. The neural network (16) may be trained to operate on incomplete data. The neural network (16) may have a branching architecture (30-34) for more accurate classification given a variety of types of available data (20, 21) for a given patient.

IPC Classes  ?

  • 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
  • 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 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

70.

SPIRAL SPECT WITH FLEXIBLE AND ADAPTIVE DETECTOR ARRAY

      
Application Number US2023032827
Publication Number 2024/147808
Status In Force
Filing Date 2023-09-15
Publication Date 2024-07-11
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Vija, Alexander Hans
  • Scheffel, Andrew

Abstract

An imaging system for gamma ray imaging includes a gantry with an opening configured to receive a patient to be imaged and a plurality of imaging arms. The arms each include a detector head having an imaging face that receives and detects gamma radiation from the patient and an arm coupled to the gantry with a plurality of actuators configured to move the detector head radially within the gantry, tilt the imaging face relative to an axis of the arm, and to adjust spacing between detector heads on adjacent imaging arms. A processor is configured to coordinate movement of the imaging arms such that together the imaging faces of the plurality of imaging arms selectively form one of a plurality of predetermined imaging surfaces within the gantry. One of the predetermined imaging surfaces is a flat plane with uniform spacing of the plurality of detector heads suitable for planar imaging. Other surfaces are suitable for tomographic imaging.

IPC Classes  ?

71.

SPECT SYSTEM WITH EXTENDED AXIAL FOV

      
Application Number 18450548
Status Pending
Filing Date 2023-08-16
First Publication Date 2024-07-11
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Vija, Alexander Hans
  • Scheffel, Andrew

Abstract

A system includes a housing having a first end portion and a second end portion, a SPECT detector disposed in the housing, a first support, a first coupling coupled to the first end portion of the housing and to the first support, a second support defining a bore, and a second coupling coupled to the second end portion of the housing and to the second support, where the housing is disposed between the first support and the second support.

IPC Classes  ?

  • G01T 1/161 - Applications in the field of nuclear medicine, e.g. in vivo counting
  • G21K 1/02 - Arrangements for handling particles or ionising radiation, e.g. focusing or moderating using diaphragms, collimators

72.

CONNECTION FOR A MULTI-DIMENSIONAL MATRIX TRANSDUCER

      
Application Number US2023081304
Publication Number 2024/147859
Status In Force
Filing Date 2023-11-28
Publication Date 2024-07-11
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor Lee, Baik Woo

Abstract

For transducers with a chip-on-array arrangement, the dematching layer extends beyond a footprint of the array, allowing for connection of the grounding plane without sidewall metalization. The flexible circuit material is tiled, reducing thermal deformation, reducing cost, and increasing process yield. The dematching layer extension and the tiled flexible circuit may be used together or individually in a given transducer.

IPC Classes  ?

  • 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
  • G03B 42/06 - Obtaining records using waves other than optical wavesVisualisation of such records by using optical means using ultrasonic, sonic or infrasonic waves

73.

BIOGRAPH TRINION

      
Application Number 234926700
Status Pending
Filing Date 2024-07-10
Owner Siemens Medical Solutions USA, Inc. (USA)
NICE Classes  ? 10 - Medical apparatus and instruments

Goods & Services

(1) Nuclear medical diagnostic imaging apparatus.

74.

BIOGRAPH TRINION.X

      
Application Number 234926800
Status Pending
Filing Date 2024-07-10
Owner Siemens Medical Solutions USA, Inc. (USA)
NICE Classes  ? 10 - Medical apparatus and instruments

Goods & Services

(1) Nuclear medical diagnostic imaging apparatus.

75.

CONNECTION FOR A MULTI-DIMENSIONAL MATRIX TRANSDUCER

      
Application Number 18149683
Status Pending
Filing Date 2023-01-04
First Publication Date 2024-07-04
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Lee, Baik Woo

Abstract

For transducers with a chip-on-array arrangement, the dematching layer extends beyond a footprint of the array, allowing for connection of the grounding plane without sidewall metalization. The flexible circuit material is tiled, reducing thermal deformation, reducing cost, and increasing process yield. The dematching layer extension and the tiled flexible circuit may be used together or individually in a given transducer.

IPC Classes  ?

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

76.

Spectral doppler envelope tracing without alias in medical ultrasound

      
Application Number 18062154
Grant Number 12279912
Status In Force
Filing Date 2022-12-06
First Publication Date 2024-06-06
Grant Date 2025-04-22
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Wong, King
  • Han, Chengzong
  • Freiburger, Paul Donald

Abstract

For spectral Doppler imaging, the search range for tracing the spectral envelope is set dynamically. The limit for searching for the envelope is established by spectrum-by-spectrum placement between bands. This search may be aided by plotting the spectra from 0 to 2π. The limit varies over time to better separate bands so that subsequent tracing avoids aliasing.

IPC Classes  ?

  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
  • G01S 15/89 - Sonar systems specially adapted for specific applications for mapping or imaging
  • G01S 7/52 - Details of systems according to groups , , of systems according to group

77.

TISSUE PROPERTY ESTIMATION WITH ULTRASOUND MEDICAL IMAGING

      
Application Number 18054554
Status Pending
Filing Date 2022-11-11
First Publication Date 2024-05-16
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Labyed, Yassin
  • Milkowski, Andrzej

Abstract

For tissue property estimation with ultrasound, multiple different types of measurements are performed by an ultrasound system, including scatter measurements and shear wave propagation measurements. The tissue property, such as liver fat fraction, is estimated using a combination of these different types of measurements.

IPC Classes  ?

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

78.

Material-Specific Attenuation Maps for Combined Imaging Systems Background

      
Application Number 18054583
Status Pending
Filing Date 2022-11-11
First Publication Date 2024-05-16
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Ellingson, Pierce
  • Schleyer, Paul

Abstract

Systems and methods of generating an attenuation map are disclosed. Computed tomography (CT) scan data for a CT scan including an imaging component is obtained. The CT scan data comprises a plurality of voxels each having a scanned CT value. A material in each voxel of the plurality of voxels is identified by comparing the scanned CT value for the voxel with predetermined CT values for a plurality of materials and a voxel attenuation value for each voxel is determined based on the predetermined CT value for the identified material. An attenuation map including the determined voxel attenuation value for each voxel is generated. The attenuation map is configured for attenuation correction of an imaging modality including the imaging component with a field of view of the imaging modality.

IPC Classes  ?

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

79.

HIGH SENSITIVITY CONTINUOUS BED MOTION

      
Application Number 18262646
Status Pending
Filing Date 2021-05-18
First Publication Date 2024-05-16
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Bal, Girish
  • Kehren, Frank

Abstract

Various systems and computer-implemented methods for high sensitivity continuous bed motion (HS-CBM) scans are disclosed. A HS-CBM scan protocol comprising at least a first zone and a second zone is calculated. The HS-CBM scan maximizes scan sensitivity within an area of interest. A moveable bed is operated at a first movement rate within an imaging field of view of an imaging modality. The first movement rate corresponds to the first zone. The moveable bed is operated at a second movement rate within the imaging field of view of the imaging modality. The second movement rate corresponds to the second zone. A medical image is generated using scan data obtained in the first zone and the second zone.

IPC Classes  ?

  • A61B 6/04 - Positioning of patientsTiltable beds or the like
  • 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]

80.

GENERAL PURPOSE, WIDE ENERGY RANGE CALIBRATION SOURCE FOR MEDICAL EMISSION TOMOGRAPHY

      
Application Number 18403143
Status Pending
Filing Date 2024-01-03
First Publication Date 2024-05-09
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Vija, Alexander Hans
  • Rodrigues, Miesher

Abstract

For calibration in medical emission tomography, the dosimeter and/or detector is calibrated in the field, such as at the clinic or other patient scanning location. To allow for a fewer number of calibration sources used in calibrating and/or assist in calibration for multispectral emission tomography, a calibration source includes multiple isotopes and/or a proxy source or isotope is used instead of the same isotope used in factory calibration.

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 6/58 - Testing, adjusting or calibrating thereof
  • G01T 1/06 - Glass dosimeters

81.

BIOGRAPH VISION.X

      
Application Number 1787297
Status Registered
Filing Date 2024-02-23
Registration Date 2024-02-23
Owner Siemens Medical Solutions USA, Inc. (USA)
NICE Classes  ? 10 - Medical apparatus and instruments

Goods & Services

Nuclear medical diagnostic imaging apparatus.

82.

SYSTEM AND METHOD OF INFORMATION EXTRACTION, SEARCH AND SUMMARIZATION FOR SERVICE ACTION RECOMMENDATION

      
Application Number 18051889
Status Pending
Filing Date 2022-11-02
First Publication Date 2024-05-02
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Daga, Saurav
  • Hurley, Iii, Robert Peter
  • Morris, Brian
  • Saxena, Priyanka

Abstract

A service intelligence system is disclosed. The service intelligence system receives a search query, identifies anomalous machine codes for a machine associated with the search query, selects one or more historical data elements based on a similarity score between the identified anomalous machine codes and machine codes associated with the one or more historical data elements, ranks the one or more historical data elements based on the similarity score, selects a predetermined number of the one or more historical data elements based on descending rank order, and provides at least one corrective action or at least one part replacement associated with the tag for each of the predetermined number of highest ranked historical data elements in response to the search query. The machine codes are identified for a predetermined time period and each of the one or more historical data elements is associated with a tag.

IPC Classes  ?

83.

Gantry alignment of a medical scanner

      
Application Number 18538005
Grant Number 12283061
Status In Force
Filing Date 2023-12-13
First Publication Date 2024-04-25
Grant Date 2025-04-22
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Schleyer, Paul
  • Bharkhada, Deepak
  • Rothfuss, Harold E.
  • Teimoorisichani, Mohammadreza
  • Ritter, Dieter

Abstract

A framework for gantry alignment of a multimodality medical scanner. First image data of a non-radioactive structure is acquired by using intrinsic radiation emitted by scintillator crystals of detectors in a first gantry of the multimodality medical scanner. Second image data of the non-radioactive structure is acquired using a second gantry for another modality of the multimodality medical scanner. Image reconstruction may be performed based on the first and second image data of the non-radioactive structure to generate first and second reconstructed image volumes. A gantry alignment transformation that aligns the first and second reconstructed image volumes may then be determined.

IPC Classes  ?

  • G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
  • G06T 7/00 - Image analysis

84.

TROUBLESHOOTING MEDICAL IMAGING EQUIPMENT

      
Application Number 18047306
Status Pending
Filing Date 2022-10-18
First Publication Date 2024-04-18
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Pawlak, John
  • Spade, Antje
  • Dobrescu, Daniel
  • Hermont, Bernardo
  • Khan, Kausar
  • Hurley, Iii, Robert Peter
  • Sovereign, Micah

Abstract

A framework for troubleshooting medical imaging equipment. Log event data and state data of one or more components of the medical imaging equipment are received. One or more calculations are performed based on the log event data and state data to generate processed data. One or more representations of the one or more components of the medical imaging equipment may then be generated based on the processed data, the log event data, the state data, or a combination thereof.

IPC Classes  ?

85.

SOLID-STATE DETECTOR CHARACTERIZATION BY MACHINE LEARNING-BASED PHYSICAL MODEL WITH REDUCED DEFECT LEVELS

      
Application Number 17938686
Status Pending
Filing Date 2022-10-07
First Publication Date 2024-04-11
Owner
  • Siemens Medical Solutions USA, Inc. (USA)
  • Northwestern University (USA)
Inventor
  • Banerjee, Srutarshi
  • Rodrigues, Miesher
  • Vija, Alexander Hans
  • Katsaggelos, Aggelos

Abstract

A physics-based network model is trained to learn weights such as trapping, detrapping, and/or transport of holes and/or electrons, as well as voltage distribution on a voxel-by-voxel basis throughout a solid-state detector model. The physics-based network may be used to estimate material property variation throughout the voxels. To reduce the number of experimental setups and information needed to train the models, the models may be trained using more easily acquired ground truth. Just the electrode signals or just the free charge data is used to train the model to characterize the solid-state detector. With this reduced data, the detector may be characterized using equivalency, such as combining multiple trapping centers to an equivalent trapping center. Regularization may be used in the loss calculation, such as where just the electrode signals are used, to deal with the reduced data available as ground truth.

IPC Classes  ?

86.

DATABASE MATCHING USING FEATURE ASSESSMENT

      
Application Number US2022077640
Publication Number 2024/076366
Status In Force
Filing Date 2022-10-06
Publication Date 2024-04-11
Owner SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
Inventor
  • Vija, Alexander Hans
  • Massanes Basi, Francesc Dassis

Abstract

A system and method includes determination of first image metrics of a first image of a phantom, the first image generated by a first imaging system based on first image formation parameters, and the first imaging system and first image formation parameters associated with a plurality of reference images, generation of a plurality of images of the phantom, each of the plurality of images generated using different respective image formation parameters, determination of second image metrics for each of the plurality of generated images, identification of one of the plurality of generated images based on the first image metrics and the second image metrics for each of the plurality of generated images, generation of an image of an object using the image formation parameters used to generate the identified one of the plurality of generated images, and comparison of the generated image of the object to one or more of the plurality of reference images.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
  • G06N 3/08 - Learning methods
  • G06T 3/00 - Geometric image transformations in the plane of the image

87.

Systems and methods of guided PET reconstruction with adaptive prior strength

      
Application Number 17930565
Grant Number 12254539
Status In Force
Filing Date 2022-09-08
First Publication Date 2024-03-21
Grant Date 2025-03-18
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Cabello, Jorge

Abstract

Systems and methods of image reconstruction are disclosed. A positron emission tomography (PET) dataset is acquired from a PET imaging modality and a magnetic resonance imaging (MRI) dataset is obtained from an MRI modality. The MRI dataset is registered to the PET dataset. An MRI reconstructed image is generated from the MRI dataset and is registered to the PET dataset. An iterative reconstruction process is applied to the PET dataset using the MRI reconstructed image as guidance. The iterative reconstruction process includes one or more similarity coefficients and a spatially variant adaptive hyperparameter is calculated for each iteration of the iterative reconstruction process. A reconstructed image is output from the iterative reconstruction process.

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]

88.

BIOGRAPH VISION.X

      
Application Number 232487800
Status Pending
Filing Date 2024-02-23
Owner Siemens Medical Solutions USA, Inc. (USA)
NICE Classes  ? 10 - Medical apparatus and instruments

Goods & Services

(1) Nuclear medical diagnostic imaging apparatus.

89.

SYNTHESIS OF MEDICAL IMAGES OF BRAIN TUMORS USING 3D-2D GANS

      
Application Number 18161186
Status Pending
Filing Date 2023-01-30
First Publication Date 2024-02-22
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Zhao, Gengyan
  • Yoo, Youngjin
  • Re, Thomas
  • Gibson, Eli
  • Comaniciu, Dorin

Abstract

Systems and methods for generating synthesized medical images of a tumor are provided. A 3D mask of an anatomical structure generated from a 3D medical image and a 3D image of a plurality of concentric spheres are received. A 3D mask of a tumor is generated based on the 3D mask of the anatomical structure and the 3D image of the plurality of concentric spheres using a first 3D generator network. A 3D intensity map of the tumor is generated based on the 3D mask of the tumor and the 3D image of the plurality of concentric spheres using a second 3D generator network. A 3D synthesized medical image of the tumor is generated based on one or more 2D slices of the 3D intensity map of the tumor and one or more 2D slices of the 3D medical image using a 2D generator network. The 3D synthesized medical image of the tumor is output.

IPC Classes  ?

  • G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
  • G06T 7/00 - Image analysis
  • G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
  • G06T 5/00 - Image enhancement or restoration
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
  • 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

90.

AUTOMATIC STAGING OF NON-SMALL CELL LUNG CANCER FROM MEDICAL IMAGING AND BIOPSY REPORTS

      
Application Number 17819256
Status Pending
Filing Date 2022-08-11
First Publication Date 2024-02-15
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Rosenman, Julian
  • Xu, Zhoubing
  • Kamen, Ali
  • Vega, Fernando
  • Capobianco, Nicolo
  • Spottiswoode, Bruce
  • Grbic, Sasa

Abstract

Systems and methods for automatically staging non-small cell lung cancer are provided. Patient data relating to a cancer of a patient is received. The patient data comprises one or more medical images and one or more biopsy reports. A T-stage of the cancer is determined based on a location and a size of one or more tumors of the cancer determined using the patient data. An N-stage of the cancer is determined by combining a metastasis evaluation of the cancer to regional lymph nodes determined from the one or more medical images and a metastasis evaluation of the cancer in the regional lymph nodes determined from the one or more biopsy reports. An M-stage of the cancer is determined based on a metastasis evaluation of the cancer to anatomical structures based on the patient data. The T-stage, the N-stage, and the M-stage are output.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • 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 50/20 - 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
  • G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing

91.

Three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging

      
Application Number 18477593
Grant Number 12171614
Status In Force
Filing Date 2023-09-29
First Publication Date 2024-01-25
Grant Date 2024-12-24
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Funka-Lea, Gareth
  • Liao, Haofu
  • Zhou, Shaohua Kevin
  • Zheng, Yefeng
  • Tang, Yucheng

Abstract

For three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging, the three-dimension segmentation is output by a machine-learnt multi-task generator. Rather than the brute force approach of training the generator from 2D ICE images to output a 2D segmentation, the generator is trained from 3D information, such as a sparse ICE volume assembled from the 2D ICE images. Where sufficient ground truth data is not available, computed tomography or magnetic resonance data may be used as the ground truth for the sample sparse ICE volumes. The generator is trained to output both the 3D segmentation and a complete volume (i.e., more voxels represented than in the sparse ICE volume). The 3D segmentation may be further used to project to 2D as an input with an ICE image to another network trained to output a 2D segmentation for the ICE image. Display of the 3D segmentation and/or 2D segmentation may guide ablation of tissue in the patient.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • 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 8/13 - Tomography
  • A61B 8/14 - Echo-tomography
  • A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
  • G06T 15/20 - Perspective computation
  • 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 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B 18/00 - Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body
  • A61B 18/14 - Probes or electrodes therefor
  • G06T 7/12 - Edge-based segmentation
  • G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
  • G06T 13/20 - 3D [Three Dimensional] animation

92.

BIOGRAPH TRINION.X

      
Serial Number 98350149
Status Pending
Filing Date 2024-01-10
Owner Siemens Medical Solutions USA, Inc. ()
NICE Classes  ? 10 - Medical apparatus and instruments

Goods & Services

Nuclear medical diagnostic imaging apparatus

93.

BIOGRAPH TRINION

      
Serial Number 98350142
Status Pending
Filing Date 2024-01-10
Owner Siemens Medical Solutions USA, Inc. ()
NICE Classes  ? 10 - Medical apparatus and instruments

Goods & Services

Nuclear medical diagnostic imaging apparatus

94.

Quantification of Blood Flow with Ultrasound B-mode Imaging

      
Application Number 18457595
Status Pending
Filing Date 2023-08-29
First Publication Date 2023-12-21
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Kapoor, Ankur
  • Loftman, Rickard C.
  • Mansi, Tommaso
  • Ustuner, Kutay F.
  • Houle, Helene C.
  • Guracar, Ismayil M.

Abstract

For quantification of blood flow by an ultrasound system, B-mode images generated with a multi-transmit, coherent image formation produce swirling or other speckle patterns in the blood regions. These patterns, as represented in specially formed B-mode images, are tracked over time to indicate two or three-dimensional velocity vectors of the blood at a B-mode resolution. Various visualizations may be provided at the same resolution, including the velocity flow field, flow direction, vorticity, vortex size, vortex shape, and/or divergence.

IPC Classes  ?

95.

Ultrasound medical imaging with optimized speed of sound based on fat fraction

      
Application Number 18457448
Grant Number 12089995
Status In Force
Filing Date 2023-08-29
First Publication Date 2023-12-21
Grant Date 2024-09-17
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor Labyed, Yassin

Abstract

For ultrasound imaging with an ultrasound scanner, fat fraction of the tissue is measured. The fat fraction may be measured without access to channel data, such as from beamformed data. The speed of sound varies with the fat fraction of tissue, so the fat fraction is used to set the speed of sound in beamforming. Imaging the tissue using the fat fraction-based optimization for speed of sound may provide better images than imaging with an assumed speed.

IPC Classes  ?

  • A61B 8/08 - Clinical applications
  • A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B 8/14 - Echo-tomography
  • G01S 7/52 - Details of systems according to groups , , of systems according to group
  • G01S 15/89 - Sonar systems specially adapted for specific applications for mapping or imaging

96.

EMISSION TOMOGRAPHY WITH GENERALIZED TIME ENCODED APERTURE IMAGING

      
Application Number US2022072913
Publication Number 2023/244268
Status In Force
Filing Date 2022-06-14
Publication Date 2023-12-21
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  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction

97.

SYSTEMS AND METHODS OF ACCELERATED DYNAMIC IMAGING IN PET

      
Application Number 17806743
Status Pending
Filing Date 2022-06-14
First Publication Date 2023-12-14
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Bharkhada, Deepak
  • Conti, Maurizio
  • Panin, Vladimir

Abstract

Systems and methods of dynamic PET imaging 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. The first PET dataset includes dynamic PET data. The processor is configured to back-project the first PET dataset to generate a plurality of histo-image frames, input each of the plurality of histo-image frames to a trained neural network, and receive a dynamic PET output from the trained neural network. Each of the histo-image frames corresponds to a first axial position of the PET imaging modality.

IPC Classes  ?

98.

POSITRON RANGE CORRECTION

      
Document Number 03242748
Status Pending
Filing Date 2023-04-24
Open to Public Date 2023-12-07
Owner
  • OTTAWA HEART INSTITUTE RESEARCH CORPORATION (Canada)
  • SIEMENS MEDICAL SOLUTIONS USA, INC. (USA)
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  ?

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

99.

POSITRON RANGE CORRECTION

      
Application Number US2023066102
Publication Number 2023/235649
Status In Force
Filing Date 2023-04-24
Publication Date 2023-12-07
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  ?

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

100.

DUAL MANIPULATION FOR ROBOTIC CATHETER SYSTEM

      
Application Number 18333009
Status Pending
Filing Date 2023-06-12
First Publication Date 2023-11-30
Owner Siemens Medical Solutions USA, Inc. (USA)
Inventor
  • Debuys, Christian
  • Kim, Young-Ho
  • Kapoor, Ankur
  • Mansi, Tommaso

Abstract

For robotically operating a catheter, translation and/or rotation manipulation is provided along the shaft or away from the handle, such as near a point of access to the patient. A worm drive arrangement may allow for both translation and rotation of the shaft. Some control may be provided by robotic manipulation of the handle, while other control (e.g., fine adjustments) are made by robotic manipulation of the shaft.

IPC Classes  ?

  • A61B 34/37 - Leader-follower robots
  • B25J 9/10 - Programme-controlled manipulators characterised by positioning means for manipulator elements
  • A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
  • A61M 25/01 - Introducing, guiding, advancing, emplacing or holding catheters
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