A method for correcting inhomogeneities in the main magnetic field of an MRI scanner, including: providing a B0 magnetic field map of the main magnetic field of the MRI scanner at least in an imaging area; providing distortion information about a behavior of gradient fields of the MRI scanner at least in the imaging area; correcting the B0 magnetic field map or MRI images based on the distortion information by bringing map points of the B0 magnetic field map into alignment with pixels of MRI images with respect to their positions in the imaging area; and outputting the corrected B0 magnetic field map or the corrected MRI images.
G01R 33/565 - Correction of image distortions, e.g. due to magnetic field inhomogeneities
G01R 33/24 - Arrangements or instruments for measuring magnetic variables involving magnetic resonance for measuring direction or magnitude of magnetic fields or magnetic flux
A spine coil, a system having a patient table and the spine coil, and a magnetic resonance apparatus are provided. The spine coil includes multiple parts that may be arranged separately from one another on the patient table of the magnetic resonance apparatus.
Centre Hospitalier Universitaire Vaudois (Switzerland)
Inventor
Kober, Tobias
Ravano, Veronica
Richiardi, Jonas
Abstract
A system and a method for evaluating a longitudinal evolution of a quantitative biomarker measured for a biological object include receiving longitudinal measurements of the quantitative biomarker for the biological object. A statistical parameter, which characterizes a variability of the acquisition technique being used, is calculated for each measurement. The calculated statistical parameter is used for each obtained biomarker value for generating synthetic data having a distribution which follows the statistical distribution of possible values for the biomarker. The sampled values are fitted by using a fitting function for each bootstrapping fitting. A fitting parameter of the fitting function is extracted for each fitting. The longitudinal evolution of the quantitative biomarker is evaluated by statistically comparing the extracted fitting parameters against a reference value.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
Health information is integrated (106) into a framework system (400). PGHD and clinical data are integrated (106) into a patient data model (240). The PGHD data as integrated may be compressed or otherwise processed (104) to reduce the volume and/or frequency of the data for greater ease in understanding the PGHD data. A user interface (220) for this data model (240) allows for access to both types of data (PGHD and clinical data) by a patient or a physician. Artificial intelligence may be used to further consolidate the data by providing one or more biomarkers (120) estimated from both types of data, allowing for patient and/or physician goal, treatment success, and/or adverse event monitoring.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
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 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
5.
COMPUTER-IMPLEMENTED METHOD AND APPARATUS FOR COMPARING IMAGES
A method for comparing images, comprises: receiving images with the same subject matter that have been recorded at different times; establishing structures in the images and generating directed acyclical graphs based on the structures in the images, wherein each graph has specified points; registering a graph of at least one second image to the graph of a first image; establishing a correspondence between the points of the registered graphs, based on the spatial proximity of the points in conjunction with a link structure of the graphs; registering at least regions of the images that are specified by corresponding points, according to the registered graphs; and outputting at least the registered regions of the images.
Methods for performing a magnetic resonance examination on a patient with a magnetic resonance apparatus, a magnetic resonance apparatus, and a computer program product are provided. According to the method, patient-specific information about the patient is provided. The patient-specific information about the patient ascertains whether at least one latent error test is to be performed on the magnetic resonance apparatus. If it is ascertained that the at least one latent error test to check the magnetic resonance apparatus is to be performed, the at least one latent error test is performed. The magnetic resonance examination is performed depending on a result of the at least one latent error test.
G01R 33/58 - Calibration of imaging systems, e.g. using test probes
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 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
A framework for training a backbone neural network. The framework includes training a first backbone neural network using a first medical data set and self-supervised learning, the first medical data set having a first modality. The framework trains a first downstream neural network by applying the trained first backbone neural network to a second medical data set to provide a first feature vector, the second medical data set having the first modality. The first downstream neural network is trained with the first feature vector as input data and labels associated with the second medical data set. The trained first backbone neural network is updated based on a supervised training signal generated during the training of the first downstream neural network.
A computer-implemented training data preparation method comprises: receiving an input medical image of vessels of a patient; determining a vessel segmentation from the input medical image; identifying and annotating anatomical landmarks in the vessel segmentation to produce an annotated vessel segmentation; and storing the annotated vessel segmentation as training data. A training method for training neural networks based on the training data and a medical diagnostic method applying trained AI models are also provided.
G06T 11/20 - Drawing from basic elements, e.g. lines or circles
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
9.
EVALUATION OF CHARACTERIZATION DATA OF AN X-RAY DETECTOR
One or more example embodiments relates to a computer-implemented method for supporting the evaluation of characterization data of an X-ray detector for an X-ray imaging system, in particular for a computed tomography system, with a plurality of detector modules, wherein the method comprises the following steps: receiving characterization data for the detector modules of the X-ray detector, wherein at least part of the characterization data is based on measurement data of the detector modules recorded without an examination object; applying a trained algorithm to the characterization data, wherein the output generated is synthetic image data simulating image data of an X-ray imaging system, in particular a computed tomography system, recorded with the X-ray detector; providing the synthetic image data.
Centre National de la Recherche Scientifique (CNRS) (France)
Institut National de La Sante et de la Recherche Medicale (INSERM) (France)
King's College London (United Kingdom)
Universite Paris XIII Paris-Nord (France)
Université Paris Cité (France)
Inventor
Darwish, Omar
Neji, Radhouene
Sinkus, Ralph
Abstract
The present disclosure relates to a method of performing 3D Magnetic Resonance Imaging including applying a magnetic gradient field that causes a concomitant field Bc. A further step of the method includes determining phase accruals due to the self-squared terms of the concomitant field Bc and phase accruals φxz, φyz due to the cross terms of the concomitant field Bc based on an encoding matrix that accounts for the different possible sign combinations of the applied magnetic gradients.
G01R 33/565 - Correction of image distortions, e.g. due to magnetic field inhomogeneities
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
G01R 33/385 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using gradient magnetic field coils
11.
SYSTEM AND METHOD FOR GENERATING A VIRTUAL MODEL OF A VIRTUAL PATIENT
One or more example embodiments provides a system and a method for generating a virtual model of a virtual patient, comprising:
One or more example embodiments provides a system and a method for generating a virtual model of a virtual patient, comprising:
a computing device configured to implement:
One or more example embodiments provides a system and a method for generating a virtual model of a virtual patient, comprising:
a computing device configured to implement:
a template module configured to provide a morphable virtual 3D mesh as a template for a virtual model of at least a part of a human organ;
One or more example embodiments provides a system and a method for generating a virtual model of a virtual patient, comprising:
a computing device configured to implement:
a template module configured to provide a morphable virtual 3D mesh as a template for a virtual model of at least a part of a human organ;
an anatomical parameters module configured to provide a range of values for each of a plurality of adjustable anatomical parameters of the virtual model, each value associated with a corresponding morphed state of the template;
One or more example embodiments provides a system and a method for generating a virtual model of a virtual patient, comprising:
a computing device configured to implement:
a template module configured to provide a morphable virtual 3D mesh as a template for a virtual model of at least a part of a human organ;
an anatomical parameters module configured to provide a range of values for each of a plurality of adjustable anatomical parameters of the virtual model, each value associated with a corresponding morphed state of the template;
a plausibility module configured to provide at least one relation to be fulfilled by the template in at least one morphed state, the relation being between at least two of the plurality of adjustable anatomical parameters
One or more example embodiments provides a system and a method for generating a virtual model of a virtual patient, comprising:
a computing device configured to implement:
a template module configured to provide a morphable virtual 3D mesh as a template for a virtual model of at least a part of a human organ;
an anatomical parameters module configured to provide a range of values for each of a plurality of adjustable anatomical parameters of the virtual model, each value associated with a corresponding morphed state of the template;
a plausibility module configured to provide at least one relation to be fulfilled by the template in at least one morphed state, the relation being between at least two of the plurality of adjustable anatomical parameters
an instantiation module configured to provide, using a pseudo-random number generator, a parameter set comprising, for each adjustable anatomical parameter of the virtual model, a value of the corresponding provided range of values, while fulfilling the at least one relation; and
One or more example embodiments provides a system and a method for generating a virtual model of a virtual patient, comprising:
a computing device configured to implement:
a template module configured to provide a morphable virtual 3D mesh as a template for a virtual model of at least a part of a human organ;
an anatomical parameters module configured to provide a range of values for each of a plurality of adjustable anatomical parameters of the virtual model, each value associated with a corresponding morphed state of the template;
a plausibility module configured to provide at least one relation to be fulfilled by the template in at least one morphed state, the relation being between at least two of the plurality of adjustable anatomical parameters
an instantiation module configured to provide, using a pseudo-random number generator, a parameter set comprising, for each adjustable anatomical parameter of the virtual model, a value of the corresponding provided range of values, while fulfilling the at least one relation; and
a generating module configured to generate the virtual model based on the template in the morphed state corresponding to the selected values of the adjustable anatomical parameters.
A magnetic resonance imaging device for an interventional procedure, a medical instrument, and a method for aligning the medical instrument in the magnetic resonance imaging device are disclosed. The magnetic resonance imaging device has a recess along an inner circumference of a patient tunnel and a display arranged therein. The medical instrument has an optical image capturing apparatus at the distal end. In the method, a trajectory for the medical instrument is ascertained for a predetermined interventional procedure in a patient, an entry point on the patient and an impact point of the trajectory on the display are determined, the medical instrument is positioned at the entry point by a user, the impact point is marked by outputting a marking on the display, and the distal end of the medical instrument is aligned with the marking.
A61B 34/20 - Surgical navigation systemsDevices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
A61B 10/02 - Instruments for taking cell samples or for biopsy
A61B 34/00 - Computer-aided surgeryManipulators or robots specially adapted for use in surgery
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
A method for performing a magnetic resonance measurement comprising multiple partial measurements, a magnetic resonance apparatus and a computer program product. According to the method, a first partial measurement is performed in a first period and a second partial measurement is performed after the first partial measurement. The second partial measurement involves the application of an excitation pulse for the excitation of a magnetic resonance signal. During the first period, at least part of a pulse calculation of the excitation pulse is performed.
In a first signal processing stage of a photon-counting x-ray detector, each pixel element has a comparator and a monoflop unit with a delay unit. The comparator is configured to compare an electrical signal with a signal threshold value and provide a digital pixel signal to the monoflop unit. The monoflop unit is configured to provide a pulse signal with a defined pulse length based on the digital pixel signal. In a second signal processing stage, an output of the first signal processing stage is coupled, for signaling purposes, to a delay unit, which is configured to delay the pulse signal to obtain an adjusted pulse signal. A counting element is configured to count a counting signal based on the adjusted pulse signal.
Centre National de la Recherche Scientifique (CNRS) (France)
Institut National de la Sante et de la Recherche Medicale (INSERM) (France)
King's College London (United Kingdom)
UNIV PARIS XIII PARIS-NORD VILLETANEUSE (France)
Université Paris Cité (France)
Inventor
Tripp, Donovan
Darwish, Omar
Sinkus, Ralph
Neji, Radhouene
Abstract
In a method for performing Magnetic Resonance Elastography (MRE) more efficiently may include providing a periodical vibration signal for exciting mechanical vibrations within an object to be examined with a vibration period, sampling the vibration signal with a sampling period corresponding to a natural number including zero of vibration periods plus a fixed time delay, and performing three motion encoding gradients for magnetic resonance acquisition in each sampling period. The fixed time delay multiplied with a sampling number may be equal to the vibration period. The sampling number may be a natural number greater than two.
G01R 33/563 - Image enhancement or correction, e.g. subtraction or averaging techniques of moving material, e.g. flow-contrast angiography
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
16.
Computer-Implemented Method for Operating a Magnetic Resonance Device for Acquiring Magnetic Resonance Data, Magnetic Resonance Device, Computer Program and Electronically Readable Storage Medium
A computer-implemented method for operating a magnetic resonance device for acquiring magnetic resonance data is provided. The method may include providing (e.g., determining) a three-dimensional, slab-selective turbo spin echo sequence having at least one echo train is used, each echo train comprising an excitation module with an excitation pulse preceding a readout module. The readout module may include multiple refocusing pulses and associated readout intervals. The excitation pulse may be at least partly implemented as a variable rate selective excitation pulse. The readout module may immediately succeed the excitation module.
G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
G01R 33/54 - Signal processing systems, e.g. using pulse sequences
17.
Imaging Modality with Patient Positioning Specification
A medical imaging system includes a longitudinally movable patient couch that positions different patient regions into its isocenter. A control facility receives patient data—including arrangement on the couch—and an operator's selection of the region to be examined. Based on these inputs, it provisionally identifies the couch section where the selected region is located and projects a marking there. The operator can issue correction commands to shift the marking until giving a close command. At that point, the system accepts the current location of the marking as final and moves the couch so that this section is in the isocenter.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 6/04 - Positioning of patientsTiltable beds or the like
18.
Method and System for Compressing Medical Image Data
A computer-implemented method may include receiving, at an input layer of a trained autoencoder, the digital medical image data set from the medical scanner. The trained autoencoder may include at least one extra dimension in the input layer and optionally in an output layer. The at least one extra dimension is provided in particular in response to a received notification of at least one data redundancy dimension of the received digital medical image data set. The method may include compressing, by the trained autoencoder, at least one part of the received digital medical image data set using the received notification of the at least one data redundancy dimension and/or data received by the at least one extra dimension.
A fundamental machine learning model, fMLM, is provisioned in the untrained or in a partially trained state to provide a trained machine learning model for feature extraction, xMLM, from medical data, wherein the fMLM has an architecture that is trainable by way of unsupervised or self-supervised training. The fMLM has the xMLM and at least one downstream machine learning model, nMLM, for performing at least one corresponding downstream task. First medical data is obtained and the fMLM is trained in an unsupervised or a self-supervised manner based on the first medical data. The xMLM is taken from trained fMLM and stored.
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
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
20.
ENERGY SUPPLY OF AN X-RAY ASSEMBLY COMPRISING AN X-RAY TUBE
An energy supply device (2) of an X-ray tube (1) has an input stage (3), an output stage (4) and an intermediate circuit (5). The intermediate circuit (5) has two lines (6, 7), each of which is connected to the input stage (3) and the output stage (4). The two lines (6, 7) of the intermediate circuit (5) have potentials which differ from one another and the difference between which forms an intermediate circuit voltage (U). The input stage (3) is connected to an AC voltage network (9) such that the input stage (3) can draw electrical energy from the AC voltage network (9) and supply the drawn electrical energy to the intermediate circuit (5). The output stage (4) is connected to the X-ray tube (1) so that the output stage (4) can draw electrical energy from the intermediate circuit (5) and convert the drawn electrical energy into a high voltage and supply same to the X-ray tube (1). The energy supply device (2) has an electrical storage assembly (10), which has an electrical energy storage device (11) in the form of an accumulator or a battery and a storage assembly-side converter circuit (12), said electrical energy storage device being connected to the intermediate circuit (5) via the storage assembly-side converter circuit (12). The energy supply device (2) has an additional converter circuit (17) and/or an additional converter (19) which provides a DC voltage for DC voltage loads (18) or an additional AC voltage for AC voltage loads (20). The additional converter circuit (17) and/or the additional converter (19) are directly connected to the electrical energy storage device (11).
A method for acquiring a magnetic resonance image dataset of a field-of-view using a gradient-echo imaging protocol includes acquiring additional k-space lines within a central region of k-space at intervals throughout the imaging protocol, wherein the additional k-space lines are used for estimating motion parameters of the field-of-view. The imaging protocol has been amended by inserting additional gradient blips after at least some of the RF excitations, such that at least one additional gradient echo is generated, allowing the acquisition of at least one additional k-space line during one echo time.
G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
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
G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
G01R 33/565 - Correction of image distortions, e.g. due to magnetic field inhomogeneities
22.
MEDICAL DEVICE WITH IMPROVED BATTERY STORAGE SYSTEM
A medical device includes an electric battery storage system including a plurality of battery modules; module fixtures, wherein the battery modules are in the module fixtures, an arrangement of the battery modules in the module fixtures provide a power-related interconnection of the battery modules, the module fixtures are divided into a plurality of basic fixtures and at least one additional fixture; and an equalizing arrangement assigned to the battery storage system, the equalizing arrangement being configured to equalize a low-loss equalization of a basic charge level and an additional charge level between battery modules in the basic fixtures and having a uniform basic charge level and a battery module in the additional fixture and having an additional charge level, and the equalizing arrangement is not configured to cause a uniform basic charge level within the battery modules in the basic fixtures.
A method for estimating a rate of randomly-occurring coincidences in a counting X-ray detector having a number of detector elements, the method comprising acquiring X-ray signals by the X-ray detector and converting the X-ray signals into electrical signals at the detector elements; passing on at least some of the electrical signals to signal inputs of a coincidence unit; counting coincidences of the signals passed on into the coincidence unit to determine at least one counting rate of acquired randomly-occurring coincidences; and estimating a rate of randomly-occurring coincidences based on the at least one determined counting rate.
In order to compress data from a system for CT, which has an X-ray detector containing a detector pixel array, a first training dataset is obtained, which contains a pixel value for each of a first multiplicity of detector pixels of the detector pixel array, which pixel value relates to an intensity of X-ray radiation incident on the detector pixel concerned. The first dataset is compressed by applying a first compression module to first input data, which contains the first dataset. The first compression module is comprised by a trained first machine learning model, MLM, which is trained to compress input data via the first compression module, and to reconstruct at least some of the input data based on the compressed input data via a first decompression module of the first MLM.
Each pixel element of a plurality of pixel elements has a number of comparators including a first subset of comparators and a second subset of comparators. Each of the second subset of comparators has a threshold value that differs from threshold values of the first subset of comparators. Each pixel element is configured to form at least one count signal based upon the output signal from at least one of the comparators of the first subset. At least a subset of the plurality of pixel elements is configured to form one or more coincidence count signals, wherein at least one coincidence count signal is formed based upon the output signal from at least one of the second subset of comparators of the one pixel element and/or of the at least one further pixel element.
In a method for spectrally differentiated cardiac CT imaging, first spectrally differentiated CT projection measurement data relating to a heart is received in a first time interval, when a contrast agent is located in chambers and/or vessels of the heart. The first time interval comprises a diastole of the heart. Second spectrally differentiated CT projection measurement data relating to the heart is received in a second time interval, when the contrast agent is located in a muscle tissue of the heart. The second time interval includes a systole of the heart. First monoenergetic image data is calculated for a first energy value based on the first spectrally differentiated CT projection measurement data and second monoenergetic image data is calculated for the first energy value based on the second spectrally differentiated CT projection measurement data.
A method for adapting a code base of an application including a plurality of features and being deployed in a distributed environment including a service center and one or more local sites, comprises: obtaining, at the service center, usage information indicating a usage of one or more of the plurality of features of the application operated at at least one of the one or more local sites; obtaining, at the service center, a code base of the application; generating, at the service center, an adapted code base of the application from the code base and based on the usage information; and providing the adapted code base.
One or more example embodiments relates to a method for regulating a dose when recording images of an object via an image recording device having a radiation source and a pixel detector. One or more example embodiments further comprises a device, a control entity and an image recording system.
A61B 6/42 - Arrangements for detecting radiation specially adapted for radiation diagnosis
29.
METHOD FOR SPECIFYING A CONFIGURATION OF AVAILABLE MEASUREMENT COUNTERS FOR MEASUREMENT TASKS IN A PHOTON-COUNTING X-RAY DETECTOR, X-RAY DETECTOR, COMPUTER PROGRAM AND ELECTRONICALLY READABLE DATA CARRIER
The invention relates to a computer-implemented method for specifying a configuration of a specified first number of available measurement counters for measurement tasks in a photon-counting X-ray detector, the X-ray detector having: - at least one converter element for converting incident photons into electrical signals, and - a plurality of pixel elements associated with the converter element for measuring the electrical signals, wherein the predetermined first number is divided into at least one second number of measurement counters configured as threshold counters and at least one third number of measurement counters configured as coincidence counters in an optimisation method in which the second number and the third number form optimisation parameters and in a target function a measure is optimised that describes the quality of an X-ray image to be recorded in relation to at least one specified application and the division specifies the configuration.
An energy supply device (2) for an X-ray tube (1) has an input stage (3), an output stage (4) and an intermediate circuit (5). The intermediate circuit (5) has two lines (6, 7), each of which is connected to the input stage (3) and the output stage (4), and the two lines (6, 7) of the intermediate circuit (5) have potentials which differ from one another and the difference between which forms an intermediate circuit voltage (U). The input stage (3) is connected to an AC voltage network (9) so that the input stage (3) can draw electrical energy from the AC voltage network (9) and supply the drawn electrical energy to the intermediate circuit (5), and the output stage (4) is connected to the X-ray tube (1) so that the output stage (4) can draw electrical energy from the intermediate circuit (5), convert the drawn electrical energy into a high voltage, and supply same to the X-ray tube (1). The energy supply device (2) has an electrical storage assembly (10), said electrical storage assembly having an electrical storage capacitor assembly (11) and a storage assembly-side converter circuit (12), which is exclusively paired with the storage capacitor assembly (11). The electrical storage capacitor assembly (11) is connected to the intermediate circuit (5) via the storage assembly-side converter circuit (12).
Systems and methods for performing a medical imaging analysis task are provided. 1) a plurality of medical images acquired at a plurality of acquisition orientations and in one or more domains and 2) a domain code for each particular acquisition orientation of the plurality of acquisition orientations are received. Each of the domain codes identify a presence of the one or more domains of the plurality of medical images that were acquired at the particular acquisition orientation. For each of the particular acquisition orientations, the domain code for the particular acquisition orientation are encoded, features are extracted from the plurality of medical images that were acquired at the particular acquisition orientation, and the encoded domain code and the extracted features are combined to generate image features for the particular acquisition orientation. A medical imaging analysis task is performed based on the image features for each of the particular acquisition orientations. Results of the medical imaging analysis task are output.
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
32.
Technique for Tracking Objects in Medical Imaging Time Series
A technique is provided for tracking an object in a real-time time series of medical images. A method, performed by a downstream neural network, NN, includes receiving a real-time time series of medical images of a patient's anatomical region at an input layer of the NN. Using a spatio-temporal encoder, the real-time time series is encoded, and an encoded representation per frame is obtained. A frame corresponds to a medical image at a time instance within the real-time time series of medical images. Using a multi-head cross-attention, MCA, decoder, the encoded representation of a most recent frame is decoded. The MCA decoder correlates the most recent frame with a predefined number of preceding frames. An object is tracked. The tracking comprises determining coordinates of the object based on the decoded most recent frame.
For image reconstruction in magnetic resonance (MR) imaging MR measurement data, which represents an imaged object, is obtained and refined MR data is created by a refinement module of a trained MLM (machine learning model) being applied to module input data dependent on the MR measurement data. An image reconstruction is created depending on the refined MR data, wherein: i) optimized MR data is created depending on the MR measurement data in that, by variation of variable image data, a predefined target function is optimized, and the module input data depends on the optimized MR data; and/or ii) further optimized MR data is created depending on the refined MR data in that, by variation of variable image data, a further target function is optimized, and the image reconstruction is created depending on the further optimized MR data.
A method and associated interpolation device is described for increasing the resolution of magnetic resonance (MR) image data of an examination object based on MR raw data acquired using a non-rectangular acquisition scheme. The method may include extracting a rectangular portion of the acquired MR raw data, transforming the extracted rectangular portion into image data space, generating high resolution image data based on the image data, transforming the high resolution image data into k-space, partly replacing the high resolution raw data by original raw data assigned to the non-rectangular portion, and transforming the consistent high resolution raw data into image data space.
G06T 3/4053 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
G06T 3/4007 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on interpolation, e.g. bilinear interpolation
35.
Computer-Implemented Method for Supporting and/or Assisting a User by Means of an Assistance System When Executing a Measurement Program During Magnetic Resonance Data Acquisition
Techniques are provided for supporting and/or assisting a user by means of an assistance system when executing a measurement program during magnetic resonance data acquisition.
G01R 33/44 - Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
G16H 40/60 - 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 operation of medical equipment or devices
36.
METHOD AND APPARATUS FOR TRUSTWORTHY PROVISION OF DATA ELEMENTS AND METHOD FOR CHECKING A DATASET WITH A PLURALITY OF DATA ELEMENTS
Methods and apparatuses relate to transferring user-specific data that can be validated via a hash tree. If not all of the underlying data of the hash tree is transferred, then in place of the non-transferred data, a suitable hash value from the hash tree can be transferred. The data to be transferred includes at least one reference data element which is suitable for checking the authenticity of the sender.
Method and device for segmenting an object in a source image. A source image showing details of the object is provided and an element of the object is selected. A segmentation region in the source image comprising the selected element is determined. A segmentation mask is prepared by segmenting the determined segmentation region, wherein at least the selected element or its components are segmented. The segmentation mask is then output.
A medical instrument for use in a magnetic resonance tomography (MRT) system is provided. The medical instrument has a spirit level for determining a spatial position of the medical instrument. The spirit level contains a liquid that may be detected by the MRT system, so that the location may be detected with the MRT system. A method for alignment of the medical instrument includes determining a trajectory for the medical instrument for a scheduled intervention. An entry point for the medical instrument is identified, and the medical instrument is arranged there. Using a magnetic resonance image of the spirit level, an actual value for a spatial angle of the medical instrument is detected. A target value for the spatial angle is ascertained by the magnetic resonance tomography system, along with information on a deviation that is output to a surgeon. The surgeon corrects the alignment based on the information.
COMPUTER-IMPLEMENTED METHOD FOR OPERATING A MAGNETIC RESONANCE DEVICE, MAGNETIC RESONANCE DEVICE, COMPUTER PROGRAM AND ELECTRONICALLY READABLE DATA MEDIUM
In a computer-implemented method, at least one measurement value that describes a reflected power reflected back by a coil element that is used to output radiofrequency pulses is acquired for at least some of the radiofrequency pulses in each case in a measurement interval such that a time series of measurement values is produced over the acquisition period. The time series of measurement values is evaluated for the purpose of detecting an occurring movement of a scanned examination subject. The movement is described by motion information. The motion information is used for controlling the acquisition procedure and/or in a reconstruction of an image dataset from acquired magnetic resonance data. The time series is used prior to the evaluation for at least partially cleaning the time series of the property using at least one piece of background information that describes an expected, non-motion-related property of the time series.
G16H 40/60 - 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 operation of medical equipment or devices
A method for controlling a temperature of an X-ray device, comprises: acquiring planning information, including at least one operating parameter of at least one component of the X-ray device, for a planned operation of the X-ray device; identifying a planning temperature of the at least one component of the X-ray device based on the at least one operating parameter; operating the X-ray device in accordance with the planning information; and controlling a temperature control unit of the X-ray device prior to and/or during operation of the X-ray device based on the planning temperature such that the temperature control unit controls a temperature of the at least one component of the X-ray device to a defined temperature or a defined temperature range by providing a heating capacity and/or a cooling capacity.
METHOD FOR TRANSMITTING DATA FROM A ROTATING PORTION OF A MEDICAL IMAGING DEVICE TO A STATIONARY PORTION OF THE MEDICAL IMAGING DEVICE AND MEDICAL IMAGING FACILITY
The invention relates to a method for transmitting data from a rotating portion of a medical imaging device to a stationary portion of the medical imaging device. The method includes transmitting the data via radio transmitters on the rotating portion and radio receivers on the stationary portion, wherein each of a plurality of separate transmission pairs is formed, each of the plurality of separate transmission pairs includes one of the radio transmitters and one of the radio receivers, and radio signals are transmitted from the radio transmitter to the radio receiver in the transmission pairs and a main radiation direction of the radio transmitter relating to the radio signals is tracked to the direction of the radio receiver.
A computed tomography gantry is movably mounted via a carriage and a main rail system such that a translational motion of the computed tomography gantry is executable along the main rail system. The carriage and the main rail system are configured to transfer a driving force for the translational motion of the computed tomography gantry non-positively from the carriage to the main rail system. The securing rail system includes at least one securing rail and at least one coupling element. The at least one securing rail is arranged on a floor section and is aligned with the main rail system. The at least one coupling element is arranged on the carriage or on the computed tomography gantry. The at least one coupling element is connected to the at least one securing rail via a rear grip and/or positively to secure against overturning of the computed tomography gantry.
One or more example embodiments relates to an ROI filter module, a collimator, an X-ray tube assembly and an imaging modality. The inventive ROI filter module includes a filter unit including a holding apparatus and a filter disk, the filter disk connected to the holding apparatus, the filter disk including at least one cylindrical filter cutout; and a kinematic guiding apparatus configured to move the filter unit within a movement plane, the kinematic guiding apparatus including, a first swivel joint, and a second swivel joint, a rotational axis of the first swivel joint and a rotational axis of the second swivel joint are spaced apart, are aligned parallel, and are perpendicular to the movement plane, wherein the second swivel joint is rotatable about the rotational axis of the first swivel joint, and the filter unit is rotatable about the rotational axis of the second swivel joint.
G01N 23/04 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material
46.
COMPUTER-IMPLEMENTED METHOD, MEDICAL ENGINEERING SYSTEM AND COMPUTER PROGRAM PRODUCT FOR AUTOMATIC MEDICAL IMAGE EVALUATION AND/OR IMAGE ASSESSMENT, AND USE THEREOF
The invention relates to a multi-stage computer-implemented method, medical engineering system and computer program product for automatic medical image evaluation and/or image assessment. The multi-stage method, system and computer program product implement the following stages: a first stage (103, 104) for automatically evaluating medical data (ID, SD), in particular medical image data (ID, SD), wherein a probability measure and/or a probability distribution (hij) of the absence of findings for the medical data (ID, SD) are/is determined; and a second stage (106) for automatically determining deviations of the probability measure and/or the probability distribution (hij) of the absence of findings from a probability measure threshold value (hSij) and/or from a probability measure criterion (hCij) of the absence of findings; and optionally a third stage (107) for automatically creating medical findings.
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 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
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 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
47.
METHODS, APPARATUSES, SYSTEMS AND COMPUTER-READABLE MEDIUMS FOR GRAPHICAL PRESENTATION OF DISTORTION LEVELS FOR USE IN MEDICAL IMAGING
A system for generating a graphical presentation of one or more distortion levels include at least one memory and at least one processor. The at least one memory is configured to store instructions and the at least one processor is configured to execute the instructions to cause the system to perform a distortion mapping sequence to generate a field map. The field map includes spatial information related to anticipated distortions caused by variations of a static magnetic field. The at least one processor is further configured to cause the system to segment the spatial information into one or more distortion levels and display a graphical representation including the one or more distortion levels.
Systems and methods include executing a labeling phase of a pulse sequence while respective first shim currents are applied to first-order shim coils, respective second shim currents are applied to second-order shim coils, and a center frequency of an RF system is set to a first center frequency, switching, during a post-labeling delay of the pulse sequence, the first shim currents to third shim currents and the center frequency of the RF system to a second center frequency, executing a readout phase of the pulse sequence to acquire first MR data from an imaging volume of a subject while the respective third shim currents are applied, the respective second shim currents are applied s, and the center frequency is set to the second center frequency, and generating an image based on the first MR data.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G01R 33/54 - Signal processing systems, e.g. using pulse sequences
G01R 33/563 - Image enhancement or correction, e.g. subtraction or averaging techniques of moving material, e.g. flow-contrast angiography
49.
Method and Apparatus for Clock Synchronization in MRI System, and MRI System
A method for sharing data between customer institutions participating in a digital health platform, comprises: providing at least one data compartment to store data of an application of a source institution; selecting a data compartment by a first user of the source institution to generate a data compartment sharing request for sharing the selected data compartment with a target institution; notifying a second user of the target institution about the data compartment sharing request; approving or rejecting, by the second user, the data compartment sharing request; notifying the first user about the approval or rejection of the data compartment sharing request by the second user; and providing access to the data stored in the selected data compartment to the target institution based on approval of the data compartment sharing request by the second user.
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
51.
INDUCTION DRIVEN SENSOR, TEST APPARATUS AND A METHOD FOR SENSING SUBSTANCES WITHIN A SAMPLE
An induction driven sensor (1) substances within a sample to be analysed filled within a sample container (5), said induction driven sensor (1) comprising at least one low power consumption electrical sensor element (2) adapted to sense substances within a sample to be analysed; and an induction driven power supply structure (3) adapted to remotely power and read out the low power supply electrical sensor element (2).
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
G01N 35/02 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor using a plurality of sample containers moved by a conveyor system past one or more treatment or analysis stations
G01N 27/00 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
G01N 27/414 - Ion-sensitive or chemical field-effect transistors, i.e. ISFETS or CHEMFETS
G01N 33/487 - Physical analysis of biological material of liquid biological material
G01N 15/06 - Investigating concentration of particle suspensions
Medical and electromedical apparatus and equipment, in particular computed tomography scanners; Parts and fittings for medical and electromedical apparatus, equipment and computed tomography scanners.
A patient seat for supporting a patient during a magnetic resonance examination, having a first portion, a second portion, a connecting element, a radio-frequency unit with at least one antenna element, and a drive unit, wherein the first portion and the second portion form parts of a receiving surface for the patient, wherein the connecting element mechanically connects the first portion to the second portion and is configured to enable a variable relative movement between the first portion and the second portion, wherein the at least one antenna element of the radio-frequency unit is configured to receive signals in a power and frequency range of a magnetic resonance examination, and wherein the drive unit is configured to move the patient seat variably along a spatial direction.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
A61B 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
54.
RECONSTRUCTION METHOD, DATA PROCESSING UNIT AND MEDICAL IMAGING DEVICE
For a simple 3D reconstruction, a method for reconstructing a 3D volume of a moving object under examination is provided, having the following steps: providing a dataset containing a multiplicity of projection images, which was generated during a rotation run of an acquisition system of an X-ray device about the object under examination; selecting at least one first projection image from the dataset; providing a generalized 3D model of the object under examination; generating a personalized 3D model of the object under examination from the generalized 3D model using the first projection image; selecting a second projection image from the dataset; registering the second projection image to the personalized 3D model of the object under examination; and reconstructing a 3D volume of the object under examination on the basis of the first and at least one further registered projection image.
A magnetic resonance imaging system may include a scanning unit. The scanning unit may comprise a gantry which has a magnet system with a base field magnet and a patient opening, and a carrier unit which has a vertical translation mechanism which is set up to arrange the gantry in a predetermined height position. Part of the magnetic resonance imaging system may include a patient seat on which a patient can be positioned seated in an at least semi-upright position during imaging and which is arranged to be displaceable in a horizontal direction relative to the gantry.
G01R 33/34 - Constructional details, e.g. resonators
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
56.
DETERMINING A CONFIGURATION FOR MAGNETIC RESONANCE IMAGING
For automatically determining a configuration for magnetic resonance imaging (MRI), an initial scanner model for an MRI scanner is received. The initial scanner model specifies a deviation of a main magnetic field from a predefined target main magnetic field and/or a deviation of a magnetic field gradient from a predefined target gradient field. MRI measurement data measured by using the MRI scanner is received. A first updated scanner model is generated by applying a trained first machine learning model (MLM) to first input data that depends on the initial scanner model and the MRI measurement data. The configuration for MRI is determined depending on the first updated scanner model.
G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
G01R 33/563 - Image enhancement or correction, e.g. subtraction or averaging techniques of moving material, e.g. flow-contrast angiography
At least some example embodiments relate to an X-ray rotating anode, an X-ray tube and an X-ray emitter. The inventive X-ray rotating anode has a carrier including at least one of molybdenum or a molybdenum alloy; a first focal path on the carrier; and a second focal path on the carrier, wherein at least one of the first focal path or the second focal path comprises at least one of tungsten or rhenium, at least one of the first focal path or the second focal path are embodied on the carrier via a vacuum plasma spraying (VPS) coating method, and the first focal path and the second focal path are distanced from one another via an intermediate section in the carrier between the first focal path and the second focal path.
A magnetic resonance local coil arrangement, a system with a magnetic resonance local coil arrangement and patient support apparatus, a magnetic resonance apparatus, and a use of such apparatuses are provided. The magnetic resonance local coil arrangement includes a bottom section and a top section. In a connected state, the bottom section and the top section delimit a spatial volume in which a body part of a patient may be supported during a magnetic resonance examination. The bottom section is configured to be positioned on a patient support apparatus of a magnetic resonance apparatus for performing the magnetic resonance examination. The bottom section and the top section have a total height in a connected state. The bottom section has a height of less than ⅓ of the total height.
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
G01R 33/34 - Constructional details, e.g. resonators
59.
VULNERABLE PLAQUE ASSESSMENT AND OUTCOME PREDICTION IN CORONARY ARTERY DISEASE
Systems and methods for vulnerable plaque assessment and outcome prediction in coronary artery disease. Medical imaging data is used to generate a coronary tree model of coronary centerlines of a patient. The coronary tree model includes a plurality of nodes that represent locations in the coronary tree model. Feature embedding associated with each node are determined from a plurality of features derived from the medical imaging data. The feature embeddings are input into a trained graph neural network that is configured to output an assessment at a node level, a segment level, and/or a coronary tree level for vulnerable plaque.
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
A system for generating contrast reformation data includes image processing circuitry configured to generate two-dimensional reformation data for three-dimensional image data by straightening a centerline of the lumen of an imaged patient and unfolding the three-dimensional medical image data about the straightened centerline. Points in the three-dimensional image data are registered to points in two-dimensional contrast image data. The unfolding is used to translate the registration for the three-dimensional image data to the two-dimensional reformation data. Contrast information from the two-dimensional contrast image data is super-imposed onto the two-dimensional reformation data to generate the contrast reformation data.
A computer-implemented method for monitoring and/or controlling a medical imaging procedure on a patient includes receiving breathing information concerning a breathing pattern of the patient and selecting a compliance class from at least two possible compliance classes based on the breathing information, wherein at least one of the possible compliance classes corresponds to a compliance of the acquired breathing information with a given desired breathing and/or breath-holding pattern. The method further includes (1) controlling the medical imaging procedure depending on the selected compliance class and/or (2) outputting non-compliance information to a user and/or storing the non-compliance information with an acquired medical image data when the selected compliance class does not indicate a compliance of the acquired breathing information with the given desired breathing and/or breath-holding pattern.
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G01R 33/567 - Image enhancement or correction, e.g. subtraction or averaging techniques gated by physiological signals
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
62.
METHOD FOR VALIDATING PROCESSING DATA, METHOD FOR PROVIDING A MODEL THAT IS TRAINED BY MACHINE LEARNING, PROCESSING ENTITY, COMPUTER PROGRAM, AND DATA MEDIUM
A method for validating processing data includes receiving original data that is based on a medical image data acquisition. The processing data, which is based on application of a main processing algorithm to the original data, is received or determined. Comparison data that is or is based on the processing data is compared with reference data that is or is based on application of a reference processing algorithm to the original data using a comparison algorithm to determine a comparison result. A trigger condition, fulfillment of which depends on the comparison result, is evaluated, and when the trigger condition is fulfilled, a notification is output, a predetermined acquisition parameter is modified for a subsequent image data acquisition, and/or new processing data is provided. Either the reference data is used as new processing data, or the new processing data is determined by applying an alternative processing algorithm to the original data.
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
63.
METHODS AND SYSTEMS FOR PROVIDING AN IMAGE ACQUISITION INFORMATION OF A MEDICAL IMAGE
Computer-implemented methods and systems for providing an image acquisition information of a medical image are provided. The methods and systems implement a plurality of steps. One step is directed to receive the medical image. Another step is directed to transform the medical image (or data of the medical image) into a frequency domain to obtain a k-space image. Another step is directed to determine the image acquisition information by applying a trained function to the k-space image (or to data of the k-space image). Another step is directed to provide the image acquisition information.
One or more example embodiments relates to a linear control facility for a medical facility, comprising a carrier component including a fastening interface configured to mechanically couple the linear control facility to the medical facility; a carriage moveable relative to the carrier component along an adjusting axis and configured to mechanically couple a patient couch; a movement-proof drive facility fixed to the carrier component; and a spindle rotatable by the drive facility, the spindle configured to couple the carriage to the drive facility, wherein a position of the carriage relative to the carrier component along the adjusting axis is adjustable by rotating the spindle via the drive facility.
Techniques are described for processing measurement information to select a respective label for multiple voxels or pixels of a medical image dataset. Reference information is described comprising a respective reference dataset for each one of the possible labels, and each label is associated with a material parameter. A respective label for the respective voxel or pixel is selected by using a discrete optimization algorithm to optimize a cost function comprising a first partial cost function and a second partial cost function, and the incorporation of the second partial cost function into the cost function introduces a coupling between the labels at different voxels or pixels.
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
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
G06T 15/00 - 3D [Three Dimensional] image rendering
Systems and methods for generating a guided review of the one or more input medical images are provided. One or more input medical images of a patient and text-based patient data of the patient are received. One or more clinical tasks are identified based on the text-based patient data using a language model. One or more machine learning based models are selected based on the one or more identified clinical tasks. One or more medical imaging analysis tasks are performed based on the one or more input medical images using the one or more selected machine learning based models. A guided review of the one or more input medical images is generated based on results of the one or more medical imaging analysis tasks. The guided review of the one or more input medical images is output.
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 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
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
Systems and methods for retrospectively calibrating an external motion signal in parallel to a magnetic resonance imaging examination of a subject, wherein the magnetic resonance imaging examination includes several magnetic resonance imaging scans. The method includes acquiring a plurality of motion calibration k-space data packets using a magnetic resonance imaging protocol in between the magnetic resonance imaging scans, combining the k-space data packets acquired across the magnetic resonance imaging examination (and applying an optimization algorithm to the combined k-space data packets in order to estimate motion states of the subject during acquisition of the k-space data packets. The method further includes estimating a calibration motion model from the motion states and the external motion signal acquired simultaneously with the data packets, wherein the calibration motion model maps the external motion signal to a corresponding motion state.
G01R 33/565 - Correction of image distortions, e.g. due to magnetic field inhomogeneities
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G01R 33/54 - Signal processing systems, e.g. using pulse sequences
G01R 33/58 - Calibration of imaging systems, e.g. using test probes
The disclosure is based on a magnetic resonance system comprising a magnetic resonance apparatus with a scanner unit having a main magnet, a gradient coil unit, and a radio-frequency coil unit; a patient receiving region at least partially surrounded by the scanner unit, and an elastography apparatus embodied to excite regions of interest of a patient during a magnetic resonance elastography examination on the patient, comprising a vibration unit, a magnetic resonance-compatible drive unit, and a transmission unit for transmitting a drive torque generated by the magnetic resonance-compatible drive unit to the vibration unit. The magnetic resonance-compatible drive unit has a magnetic resonance-compatible motor.
A computer-implemented method comprises: receiving, from a first local site remote from a model aggregator device, a local update of a machine learned model and a parameterization of local data, wherein the local update was generated at the first local site based on the local data; generating a synthetic representation of the local data based on the parameterization using a generative AI function; evaluating the local update using the synthetic representation to obtain an evaluation result indicative of the performance of the local update; and updating the machine learned model based on the evaluation result and the local update.
Systems and methods for performing one or more medical imaging analysis tasks using a vision-language model are provided. One or more input medical images are received. Image embeddings are extracted from the one or more input medical images. One or more medical imaging analysis tasks are performed based on the image embeddings extracted from the one or more input medical images using a trained vision-language model. Results of the one or more medical imaging analysis tasks are output. The trained vision-language model is trained by: receiving one or more training medical images and a text-based report associated with the one or more training medical images, extracting image embeddings from the one or more training medical images, generating one or more instructions based on the text-based report using a language model, and training the vision-language model to perform the one or more medical imaging analysis tasks based on the image embeddings extracted from the one or more training medical images and the one or more generated instructions.
Medical and electromedical apparatus, equipment and instruments for monitoring, recording, analyzing and reporting medical data; Medical and electromedical apparatus, equipment and instruments for medical diagnostic purposes, and medical treatment in the cardiovascular field.
Medical and electromedical apparatus, equipment and instruments for monitoring, recording, analyzing and reporting medical data; Medical and electromedical apparatus, equipment and instruments for medical diagnostic purposes, and medical treatment in the cardiovascular field.
Medical apparatus and devices; x-ray diagnostic apparatus and equipment; x-ray therapy apparatus equipment; x-ray diagnostic apparatus and equipment for mammography.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Recorded and downloadable software, in particular recorded and downloadable software for use in connection with controlling and operating a medical imaging apparatus; Recorded and downloadable software for monitoring, recording, analysing and storing medical image data and for configuring, processing, organising and updating imaging protocols being a component of medical imaging apparatus; Recorded and downloadable computer software integrated into a medical imaging device for monitoring, recording, analysing and storing medical image data and for configuring, processing, organising and updating imaging protocols. Software as a service (saas) services featuring software for use in connection with controlling and operating an apparatus for medical imaging; software as a service (saas) services featuring software for monitoring, recording, analysing and storing medical image data and for configuring, processing, organising and updating imaging protocols.
82.
REDUCTION OF ARTIFACTS IN SPECTRAL COMPUTED TOMOGRAPHY IMAGE DATA
A method comprises: receiving computed tomography measurement data with sets of measurement values, wherein a set corresponds to a detector element readout of the measurement data including measurement values from at least two different x-ray spectra; determining an error estimate per set of measurement values; defining a replacement reference value per set of measurement values; applying a function that maps the measurement values to corrected values, the corrected values being between the mapped measurement value and the replacement reference value of the respective set, such that for larger errors the corrected value is closer to or at the replacement reference value and for smaller errors the corrected value is closer to or at the measurement value; and reconstructing computed tomography image data based on the corrected values.
For a particularly precise check of travel accuracy, a measuring system is provided for checking and/or calibrating a travel accuracy of a mobile medical device that may be moved over a floor automatically or semiautomatically in a motorized manner. The measuring system includes a flat mat with an underside that may be arranged on the floor, and with an upper side on which indicator patterns that include at least one zero point mark for positioning the medical device and a number of track markings for travel motions of the mobile device are arranged. The measuring system includes a unit for illuminating the indicator patterns that are arranged on the mat using at least one concentrated light beam. The unit is arranged on the mobile medical device, such that the light beam is directed onto the upper side of the mat.
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
G01C 21/20 - Instruments for performing navigational calculations
G05D 1/244 - Arrangements for determining position or orientation using passive navigation aids external to the vehicle, e.g. markers, reflectors or magnetic means
G05D 107/60 - Open buildings, e.g. offices, hospitals, shopping areas or universities
Systems and methods that leverage the power of artificial intelligence (AI) to enhance the process of whole-body MRI scanning. AI models optimize the acquisition protocol, resulting in shorter and more patient-friendly scan durations. Furthermore, AI models aid in the automatic interpretation of the imaging data, highlighting potential areas of concern and streamlining the diagnostic process.
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
G01R 33/54 - Signal processing systems, e.g. using pulse sequences
A method for operating an X-ray apparatus includes acquiring at least one 2D X-ray image of an object under examination by an X-ray device and 2D/3D registering the at least one 2D X-ray image with a 3D model by a computing device of the X-ray apparatus. 2D image elements of the at least one 2D X-ray image are associated with corresponding 3D image elements that are situated at respective 3D image-element locations in the 3D model. A volume of interest is determined within the 3D model, and the at least one 2D X-ray image is post-processed. At least one of the 2D image elements is edited according to a relative location, in relation to the volume of interest, of the 3D image-element location of the 3D image element corresponding to the at least one 2D image element. Output data including the at least one 2D X-ray image is provided.
One or more example embodiments relates to an X-ray detector including at least one detector unit; and a temperature regulating unit including a fluid providing unit, a heat exchanger and at least one fluid channel, the fluid providing unit configured to provide a fluid, wherein the detector unit and the temperature regulating unit are positioned in a defined arrangement relative to one another and are moveable relative to an examination object to be mapped via X-ray transirradiation, the detector unit is configured to detect X-ray radiation incident upon an X-ray sensitive surface of the detector unit, and the at least one fluid channel is arranged such that heat is transferrable between the detector unit and the fluid.
One or more example embodiments relates to a cathode device and an X-ray source. The cathode device for an X-ray source has an electron emitter including a plurality of field effect emitter elements aligned in parallel to form an emission surface on the upper side of the plurality of field effect emitter elements aligned in parallel a gate electrode, arranged above the emission surface, a multiple first contact elements for at least two independently current-carrying current paths of the electron emitter, electrons from at least one of the current paths are emittable depending on an emission voltage between the gate electrode and the emission surface via the field effect emitter elements; and an emitter seat including multiple second contact elements, the multiple second contact elements connectable with the multiple first contact elements for closing the current paths.
The disclosure is directed to a brake chopper, a control board, a bus voltage control method, a device and a medium. The brake chopper may include a resistor module, electrically connected to a DC bus to form an energy release circuit of the DC bus; a control module, for determining the difference between a voltage value of the DC bus and a preset first threshold, and generating a first switch control signal on the basis of the difference; and a switch module, for controlling the ON time of the energy release circuit on the basis of the first switch control signal. There may be a progressively increasing relationship between the ON time and the difference. The ON time of the energy release circuit may be precisely controlled based on the difference between 10 the DC bus voltage value and the first threshold, increasing the energy utilization rate of the DC bus.
B60L 7/12 - Dynamic electric regenerative braking for vehicles propelled by DC motors
B60L 15/20 - Methods, circuits or devices for controlling the propulsion of electrically-propelled vehicles, e.g. their traction-motor speed, to achieve a desired performanceAdaptation of control equipment on electrically-propelled vehicles for remote actuation from a stationary place, from alternative parts of the vehicle or from alternative vehicles of the same vehicle train for control of the vehicle or its driving motor to achieve a desired performance, e.g. speed, torque, programmed variation of speed
89.
Determining Magnetic Resonance Coil Sensitivity Data
Techniques are provided to determine magnetic resonance coil sensitivity data. This includes acquiring reference data of individual slices via a coil comprising at least two antenna elements and one coil channel per antenna element, the acquired reference data fully sampling the k-space at least in a central region of the k-space. The techniques further include loading at least undersampled data set acquired via the coil, and determining a supplementary kernel for at least one loaded set of data acquired via the coil based upon the acquired reference data. The techniques also include determining, at least in a central region of the k-space, reconstructed reference data that is fully sampled from the loaded sets of data acquired by means of the coil using the determined supplementary kernels, and determining coil sensitivity data of the coil on the basis of the reconstructed reference data.
G01R 33/483 - NMR imaging systems with selection of signal or spectra from particular regions of the volume, e.g. in vivo spectroscopy
G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
90.
REDUCING AN ELECTRON EMISSION OF AN ELECTRON EMITTER
A method for reducing electron emission of an electron emitter comprises: emitting electrons from a first current path via at least one first field effect emitter element, subject to an emission voltage between a gate electrode and an emission surface; determining a property of the first current path; and activating a first current limiting unit subject to the properties of the first current path to reduce the electron emission of the electron emitter.
In an X-ray imaging method, at least two X-ray images are obtained of a region to be depicted in an object, wherein the at least two X-ray images correspond to different acquisition timeframes and represent a vascular structure of the object in different contrast-agent filling states. A shared vessel mask, which represents the vascular structure, is generated based on the at least two X-ray images. At least two live images of the region to be depicted are obtained, which correspond to different second acquisition timeframes. For each image of the at least two live images, depending on the shared vessel mask, a corresponding overlay image for displaying on a display device is generated.
G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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
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
G06T 5/60 - Image enhancement or restoration using machine learning, e.g. neural networks
G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
92.
METHOD AND SYSTEM FOR PROVIDING A SECOND NEURAL NETWORK
A computer-implemented method comprises: receiving a first neural network trained to map first input data to first output data; receiving a second neural network configured to map second input data to second output data, the second input data having a same structure as the first input data; determining a joint neural network including a first part of the first neural network and a second part of the second neural network; receiving first and second training data; training the joint neural network based on the first training data; training the second neural network based on the second training data and a second loss function, the second loss function including a layer loss function based on a comparison of values of a second layer of the second part in the second neural network and values of a corresponding layer in the trained joint neural network; and providing the second neural network.
A medical device includes a lighting strip having a plurality of individually drivable light-emitting diodes, and a controller for the light-emitting diodes. The controller includes an interface configured to dynamically receive a request for an illumination state including a partial illumination state for each of the light-emitting diodes. The controller is configured to: individually determine respective drive levels for the light-emitting diodes such that an actual illumination state of a respective light-emitting diode corresponds to a respective partial illumination state; and drive the light-emitting diodes in accordance with the respective drive levels determined. When determining the respective drive levels the controller takes into account aging states of the light-emitting diodes.
H05B 45/50 - Circuit arrangements for operating light-emitting diodes [LED] responsive to malfunctions or undesirable behaviour of LEDsCircuit arrangements for operating light-emitting diodes [LED] responsive to LED lifeProtective circuits
94.
Technique for Optical Property per Sampling Point Medical Image Rendering
A technique for volume rendering, and/or surface rendering, of a medical imaging data set based on optical properties per sampling points is provided. An uncertainty indicator per voxel, and/or per surface element, in relation to a segmentation mask of, and/or an anatomical structure comprised in, a medical imaging data set is received. A randomization of one or more sampling points is scaled based on the received uncertainty indicator, and at least one optical property per sampling point is determined. A volume based on the voxels, and/or a surface based on the surface elements is rendered. The rendering is based on the determined at least one optical property per sampling point.
The disclosure relates to an MR coil for intraoral MR measurements on a target section in the dental area. The target section may include at least part of a dental arch. The MR coil May have coil conductors which form at least one resonant circuit. The MR coil may have a central part and two legs protruding from the central part in which coil conductors of the resonant circuit are arranged. The MR coil can be placed on the dental arch in such a way that the legs encompass the dental arch such that one leg is arranged on the inside and one leg on the outside of the dental arch. The MR coil may have a shape adapted to the shape of the target section.
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
G01R 33/34 - Constructional details, e.g. resonators
A method for generating augmented camera image data for guiding a needle intervention, comprises: receiving medical image data and camera image data of an examination portion of a patient; determining information concerning a planned insertion pose of the needle based on the medical image data, the information including coordinates assigned to the planned insertion pose of the needle in a coordinate system of the medical image data; determining coordinates assigned to the planned insertion pose of the needle in the camera coordinate system of the camera by transforming the coordinates assigned to the planned insertion pose from the medical image data coordinate system into the camera coordinate system; and generating augmented camera image data based on the camera image data and the coordinates in the camera coordinate system.
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
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
97.
Method for Operating an Imaging Apparatus, an Imaging Apparatus, a Computer Program, and an Electronically Readable Data Carrier
The disclosure relates to techniques for operating an imaging apparatus, which includes receiving sensor data via a control facility of the imaging apparatus. The sensor data describes sensor values relating to a patient to be examined. The technique further includes determining a state of the patient to be examined by the control facility based on the sensor data, and checking the state of the patient to be examined for fulfillment of a predetermined recording condition for carrying out a recording method by a recording facility of the imaging apparatus. Upon fulfillment of the predetermined recording condition, a recording facility is triggered by the control facility to carry out the recording method, and a recording is performed by the recording facility. The recording method comprises recording at least one recording of a recording area of the patient to be examined.
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
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
98.
LASER-BASED ALIGNMENT ASSISTANCE APPARATUS, LASER-BASED ALIGNMENT ASSISTANCE SYSTEM, AND AN X-RAY IMAGING SYSTEM
A laser-based alignment assistance apparatus used to assist with alignment of an instrument for puncturing a subject, which may be used for an X-ray imaging system, includes a first line laser to produce a first laser beam in a first laser plane. The first laser beam is configured to produce a first laser line on a first surface line in a first sectional plane when the first sectional plane corresponds to the first laser plane. The laser-based alignment assistance apparatus includes a second line laser to produce a second laser beam in a second laser plane, and a point-like shielding element to produce a shadow line in the second laser plane. The second line laser is configured to display a shadow point on a second surface line in a second sectional plane when the first sectional plane and the second sectional plane are aligned.
A61B 90/13 - 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 for stereotaxic surgery, e.g. frame-based stereotaxis with guides for needles or instruments, e.g. arcuate slides or ball joints guided by light, e.g. laser pointers
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
99.
BODY SHAPE ESTIMATION FROM LOCALIZER SCAN IN MAGNETIC RESONANCE MEDICAL IMAGING
In magnetic resonance imaging, shape estimation is used to limit patient burns. A localizer image or scout scan is used to determine some of the patient shape and corresponding position. A missing part, such as the arm not in the scout scan field of view, is inferred from the localizer image. The position of the inferred body part is used to predict the risk of burn, allowing generation of a warning to reposition the patient and/or change the scan settings.
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
A medical intervention assistance robot is described. The medical intervention assistance robot comprises a first operating arm configured to handle a non-sterile object, a second operating arm configured to handle a sterile object and a support unit configured to support the first operating arm and the second operating arm. The medical intervention assistance robot also comprises a control unit configured to control a movement of the first operating arm and a movement of the second operating arm. Further, a medical intervention method using a medical intervention assistance robot is described.
A61B 50/30 - Containers specially adapted for packaging, protecting, dispensing, collecting or disposing of surgical or diagnostic appliances or instruments
