A method for localization of an object to be imaged in an examination tube of an MRI system. The method includes: obtaining projection measurement data of an MR projection measurement in at least one direction perpendicular to a longitudinal direction of the examination tube; and determining, as a function of the projection measurement data, at least one distance of the object from an inner wall of the examination tube.
G01R 33/28 - Détails des appareils prévus dans les groupes
G01R 33/30 - Dispositions pour le traitement des échantillons, p. ex. cellules d'essai, mécanismes rotationnels
G01R 33/381 - Systèmes pour produire, homogénéiser ou stabiliser le champ magnétique directeur ou le champ magnétique à gradient utilisant des électro-aimants
A motion estimation method and apparatus for magnetic resonance imaging and a magnetic resonance imaging system. The method includes: calculating a rigid body motion vector of a subject for each of a most recent N imaging excitations; according to pilot tone (PT) data of each channel acquired for the most recent N imaging excitations and N rigid body motion vectors calculated for the most recent N imaging excitations, calculating a linear transformation model for transforming from the PT data of each channel acquired for the most recent N imaging excitations to the N rigid body motion vectors; and for each subsequent imaging excitation, according to PT data of each channel acquired during an echo duration of each echo and the linear transformation model, calculating a rigid body motion vector of the subject for each echo of each imaging excitation.
G01R 33/565 - Correction de distorsions d'image, p. ex. dues à des inhomogénéités de champ magnétique
G01R 33/56 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne
G01R 33/561 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne par réduction du temps de balayage, c.-à-d. systèmes d'acquisition rapide, p. ex. utilisant des séquences d'impulsions écho-planar
Systems and methods for generating synthetic images representing healthy-for-age images of an anatomical object are provided. 1) one or more input medical images of an anatomical object of a patient and 2) an input age associated with the patient are received. A feature set is extracted from the one or more input medical images. The extracted feature set is encoded with noise based on the input age associated with the patient using a machine learning based noise model. An age associated with the patient is predicted based on the extracted feature set. The encoded feature set is denoised based on the input age associated with the patient and the predicted age associated with the patient using a machine learning based denoising model. One or more synthetic images of the anatomical object of the patient are generated based on the denoised feature set. The one or more synthetic images of the anatomical object of the patient are output.
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
G16H 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p. ex. DICOM, HL7 ou PACS
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p. ex. l’édition
5.
COMPUTER-AIDED DIAGNOSIS SYSTEM FOR PULMONARY NODULE ANALYSIS USING PCCT IMAGES
Systems and methods for performing one or more medical imaging analysis tasks on PCCT (photon-counting computed tomography) images are provided. Image acquisition parameters of a PCCT image acquisition device are determined for acquiring PCCT images. One or more PCCT images of an anatomical object of a patient acquired using the PCCT image acquisition device configured with the image acquisition parameters are received. One or more medical imaging analysis tasks analyzing the anatomical object are performed based on the one or more PCCT images using one or more machine learning based models. Results of the one or more medical imaging analysis tasks are output.
A61B 6/00 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations
A61B 6/42 - Agencements pour détecter des radiations spécialement adaptés au diagnostic par radiations
A61B 6/50 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations spécialement adaptés à des parties du corps spécifiquesAppareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations spécialement adaptés à des applications cliniques spécifiques
G06T 7/80 - Analyse des images capturées pour déterminer les paramètres de caméra intrinsèques ou extrinsèques, c.-à-d. étalonnage de caméra
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux
6.
Magnetic Resonance Data Determination with Spectral Selection
A method for recording scan data of an examination object which includes spins of at least two different spin species by means of a magnetic resonance system. The method includes: radiating in a composite RF pulse, for example, a binomial pulse comprising at least two subpulses; switching bipolar slice selection gradients so that successive subpulses of the composite RF pulse are encoded with differently polarized slice selection gradients; recording as scan data magnetic resonance signals triggered by the composite RF pulse; and storing and/or further processing the recorded scan data, wherein the subpulses are radiated in at a frequency that is detuned by a detuning shift relative to a resonance frequency of a spin species that is to be represented, such that by way of the detuning shift a linear evolution of the phase over the temporal progression of the composite RF pulse results.
G01R 33/565 - Correction de distorsions d'image, p. ex. dues à des inhomogénéités de champ magnétique
G01R 33/54 - Systèmes de traitement du signal, p. ex. utilisant des séquences d'impulsions
G01R 33/561 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne par réduction du temps de balayage, c.-à-d. systèmes d'acquisition rapide, p. ex. utilisant des séquences d'impulsions écho-planar
7.
DNA METHYLATION MARKER FOR DETERMINATION OF T-STATUS OF CANCER
The present invention relates to a method for diagnosing, detecting or monitoring a cancer disease in a subject, comprising determining the methylation level of a methylation site in a genomic DNA derived from the subject ' s sample, wherein said methylation site comprises the differentially methylated position (DMP) corresponding to Illumina probe ID cg01218619 ( SEQ ID NO : 1 ). Also envisaged is a corresponding kit, a method of enriching DNA molecules derived from a subject' s sample and the use of the DMP for diagnosing, detecting or monitoring a cancer disease.
C12Q 1/6886 - Produits d’acides nucléiques utilisés dans l’analyse d’acides nucléiques, p. ex. amorces ou sondes pour les maladies provoquées par des altérations du matériel génétique pour le cancer
09 - Appareils et instruments scientifiques et électriques
Produits et services
Medical diagnostic software, namely for use in diagnosing and screening for heart disease; software for measuring coronary artery stenosis; software for analyzing coronary artery pressure data; software for use in diagnosing and screening for aortic stenosis; software for analysis of heart disease.
9.
METHOD FOR DETERMINING AN ABLATION PARAMETER FOR AN ABLATION TREATMENT
One or more example embodiments relates to a method for determining an ablation parameter for an ablation treatment, the method comprising receiving sensor data acquired by at least two sensors, the at least two sensors being spatially arranged along a shaft of an ablation probe, each of the at least two sensors having a distinct sensor position, wherein the sensor data for at least one measurement parameter includes two measured values obtained at different sensor positions; determining the ablation parameter based on at least one of the sensor data or the two measured values of the same measurement parameter at different sensor positions; and providing the determined ablation parameter.
A61B 18/00 - Instruments, dispositifs ou procédés chirurgicaux pour transférer des formes non mécaniques d'énergie vers le corps ou à partir de celui-ci
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/02 - Détection, mesure ou enregistrement en vue de l'évaluation du système cardio-vasculaire, p. ex. mesure du pouls, du rythme cardiaque, de la pression sanguine ou du débit sanguin
A61B 5/145 - Mesure des caractéristiques du sang in vivo, p. ex. de la concentration des gaz dans le sang ou de la valeur du pH du sang
A61B 6/00 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations
10.
Elastography Apparatus for MR Elastography of a Head
Centre National de la Recherche Scientifique (CNRS) (France)
Institut National de La Sante et de la Recherche Medicale (INSERM) (France)
King's College London (Royaume‑Uni)
Université Paris XIII Paris-Nord (France)
Université Paris Cité (France)
Inventeur(s)
Schregel, Katharina
Darwish, Omar
Neitz, Gustav
Annio, Giacomo
Sinkus, Ralph
Abrégé
An elastography apparatus is described that is designed to assist in magnetic resonance elastography of the head of an examination object. The elastography apparatus comprises a first support element which is designed to be positioned within a radiofrequency receiving coil unit and a vibration generator which is designed to generate mechanical waves. The first support element has a first recess for receiving the vibration generator, the first support element has a second recess for receiving the head, and the first recess is so shaped as to at least partially enclose the vibration generator in a custom-fit manner and the vibration generator is arranged at least partially within the first recess.
G01R 33/563 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne de matériaux en mouvement, p. ex. angiographie à écoulement contrasté
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
An ankle coil may include a support assembly and a coil unit arranged inside the support assembly, which may include a seat including a side support located on a plantar side that supports a foot sole, and a bottom support located on a foot posterior side that supports a heel posterior part and a lower leg distal posterior part; flexible sheets connected to the seat and located on both sides of the foot, where the sheets are deformable to wrap the foot and overlap each other to provide an enclosing state; and a pressing member movably connected to the seat that may move until pressing against the overlapping portions in the enclosing state to maintain the enclosing state. Advantageously, the ankle coil is easy to operate, and the arrangement of the portion of the coil forming the coil unit in the pressing member helps to improve imaging quality.
G01R 33/34 - Détails de structure, p. ex. résonateurs
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
12.
MEDICAL IMAGING DEVICE FOR EXAMINATION OF A BODY PART, IN PARTICULAR A MAMMOGRAPHY DEVICE, BIOPSY UNIT AND METHOD FOR ILLUMINATING A BODY PART
One or more example embodiments relates to a medical imaging device for examination of a body part of a patient, in particular a mammography device for examination of the female breast, comprising an imaging unit configured to perform an X-ray-based imaging concerning the body part positioned in a positioning area of the medical imaging device; and a biopsy device comprising a biopsy needle configured to obtain a tissue sample from the body part positioned in the positioning area and a light generating device configured to generate light to reach the positioning area.
A61B 6/50 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations spécialement adaptés à des parties du corps spécifiquesAppareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations spécialement adaptés à des applications cliniques spécifiques
A61B 10/02 - Instruments pour prélever des échantillons cellulaires ou pour la biopsie
A61B 90/00 - Instruments, outillage ou accessoires spécialement adaptés à la chirurgie ou au diagnostic non couverts par l'un des groupes , p. ex. pour le traitement de la luxation ou pour la protection de bords de blessures
Systems and methods for determining rendering parameters based on authored snapshots or templates. In one aspect, clinically relevant snapshots of patient medical data are created by experts to support educational or clinical workflows. Alternatively, the snapshots are created by automation processes from AI-based organ and disease segmentations. In another aspect, clinically relevant templates are generated. Rendering parameters are derived from the snapshots or templates, stored, and then applied for either rendering new data or interactive viewing of existing data.
An array of light sources for a Fourier ptychographic imaging system includes at least two adjacent light sources which preferably differ from each other in a property of light beams emitted from them and are configured to illuminate a sample at different angles of incidence for reconstructing a single image of the sample using Fourier ptychography, wherein the property of light beams of each light source is configured to match the sample for increasing a contrast and/or a color or material information content in the reconstructed single image of the sample. In embodiments, one or more light sources is a UV light source. In embodiments, the sample is a biological sample. In embodiments, the FPM (Fourier Ptychography Microscopy) includes UV transparent components and/or materials such as quartz.
A computer-implemented method for providing a final motion corrected image dataset includes: receiving magnetic resonance data; determining a first motion corrected image dataset by solving a first optimization problem, wherein the first optimization problem depends on the magnetic resonance data and on motion data, and wherein the motion data concerns a movement of an object during the acquisition of the magnetic resonance data; processing the first motion corrected image dataset by an algorithm for image quality improvement to provide a processed image dataset; determining a second motion corrected image dataset by solving a second optimization problem that depends on the magnetic resonance data, on the motion data and on the processed image dataset, and either providing the second motion corrected image dataset as the final motion corrected image dataset or determining the provided final motion corrected image dataset based on the second motion corrected image dataset.
For particularly rapid and effective scattered-radiation correction of 2D X-ray images, a method is provided for scattered-radiation correction for an X-ray image or a series of X-ray images, which images may be acquired by an acquisition system having an X-ray source, an X-ray detector, and a collimator that shapes the primary X-ray radiation. The method includes: providing the X-ray image acquired in a first setting of the collimator in which setting the object under examination is illuminated; providing an auxiliary X-ray image acquired in a second setting of the collimator in which second setting are illuminated, in particular solely one or more sub-regions of the X-ray detector; subtracting the auxiliary X-ray image from the X-ray image; determining a scattered-radiation correction using image data from the X-ray detector obtained from the subtraction at least in the region of the sub-regions; and correcting the X-ray image using the determined scattered-radiation correction.
A61B 6/00 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations
The disclosure relates to an elastography apparatus designed to support magnetic resonance elastography, including an oscillation generator, a fixation apparatus designed to fix the oscillation generator to an object under examination, a pressure sensor designed to detect a contact pressure acting between the oscillation generator and the object under examination, and an output unit designed to output the detected contact pressure.
G01R 33/563 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne de matériaux en mouvement, p. ex. angiographie à écoulement contrasté
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
18.
TECHNIQUE FOR DETERMINING PHYSIOLOGICAL SIGNALS USING MRI SCANS
A computer-implemented method for determining a physiological signal of a patient using a magnetic resonance imaging, MRI, scan. The method includes a step of receiving raw data of an MRI scan of a patient. The method further comprises a step of determining, by a neural network, a physiological signal of the patient from the received raw data. The neural network includes a transformer architecture.
G01R 33/56 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
19.
METHOD FOR ACQUIRING A MAGNETIC RESONANCE IMAGE DATASET OF A BODY PART OF A SUBJECT
A method for acquiring a magnetic resonance image dataset of a body part of a subject includes acquiring a low-resolution magnetic resonance image of the body part, optionally acquiring a reference set of additional k-space lines within a central region of k-space, and acquiring further sets of additional k-space lines within a central region of k-space at intervals throughout the imaging protocol. The method includes applying a trained machine learning model to a dataset including the low-resolution image in k-space notation and a further set of additional k-space lines. A set of pose parameters is generated. The pose parameters are used for prospective and/or retrospective motion correction of the magnetic resonance image dataset.
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
G01R 33/56 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne
G01R 33/565 - Correction de distorsions d'image, p. ex. dues à des inhomogénéités de champ magnétique
20.
Preparing an MR Elastography with an MR Elastography Apparatus
Techniques are disclosed for preparing an MR elastography of a liver, which includes creating a photographic recording of an examination object, determining a position of the liver on the basis of the photographic recording, providing an information item regarding a target position of an oscillation generator on the basis of the position of the liver, arranging the oscillation generator on the examination object dependent upon the information regarding the target position, introducing the examination object with the oscillation generator into a patient receiving region of a magnetic resonance device, capturing overview MR image data from the examination object, and selecting an examination region for transverse slices covering at least one subregion of the liver for a recording of MRE image data on the basis of the overview MR image data.
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
A61B 90/00 - Instruments, outillage ou accessoires spécialement adaptés à la chirurgie ou au diagnostic non couverts par l'un des groupes , p. ex. pour le traitement de la luxation ou pour la protection de bords de blessures
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 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le calcul des indices de santéTIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
G16H 15/00 - TIC spécialement adaptées aux rapports médicaux, p. ex. leur création ou leur transmission
22.
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.
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés basés sur les caractéristiques
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
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 de distorsions d'image, p. ex. dues à des inhomogénéités de champ magnétique
G01R 33/24 - Dispositions ou appareils pour la mesure des grandeurs magnétiques faisant intervenir la résonance magnétique pour la mesure de la direction ou de l'intensité de champs magnétiques ou de flux magnétiques
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 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le calcul des indices de santéTIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
G16H 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p. ex. DICOM, HL7 ou PACS
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.
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.
Centre National de la Recherche Scientifique (CNRS) (France)
Institut National de La Sante et de la Recherche Medicale (INSERM) (France)
King's College London (Royaume‑Uni)
Universite Paris XIII Paris-Nord (France)
Université Paris Cité (France)
Inventeur(s)
Darwish, Omar
Neji, Radhouene
Sinkus, Ralph
Abrégé
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 de distorsions d'image, p. ex. dues à des inhomogénéités de champ magnétique
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
G01R 33/385 - Systèmes pour produire, homogénéiser ou stabiliser le champ magnétique directeur ou le champ magnétique à gradient utilisant des bobines de champ magnétique à gradient
28.
DEMAND-ORIENTED FUNCTIONAL TESTS FOR THE EFFICIENT DETECTION OF SPORADIC ERRORS BASED ON A PATIENT-SPECIFIC RISK ASSESSMENT
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 - Étalonnage des systèmes d'imagerie, p. ex. utilisant des sondes d'essai
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p. ex. l’édition
29.
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.
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 - Traçage à partir d'éléments de base, p. ex. de lignes ou de cercles
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 20/70 - Étiquetage du contenu de scène, p. ex. en tirant des représentations syntaxiques ou sémantiques
G16H 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p. ex. DICOM, HL7 ou PACS
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.
G06T 17/20 - Description filaire, p. ex. polygonalisation ou tessellation
G06T 19/20 - Édition d'images tridimensionnelles [3D], p. ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
G16H 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p. ex. DICOM, HL7 ou PACS
33.
MAGNETIC RESONANCE IMAGING DEVICE AND METHOD FOR POSITIONING A MEDICAL INSTRUMENT
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 - Systèmes de navigation chirurgicaleDispositifs pour le suivi ou le guidage d'instruments chirurgicaux, p. ex. pour la stéréotaxie sans cadre
A61B 10/02 - Instruments pour prélever des échantillons cellulaires ou pour la biopsie
A61B 34/00 - Chirurgie assistée par ordinateurManipulateurs ou robots spécialement adaptés à l’utilisation en chirurgie
A61B 90/00 - Instruments, outillage ou accessoires spécialement adaptés à la chirurgie ou au diagnostic non couverts par l'un des groupes , p. ex. pour le traitement de la luxation ou pour la protection de bords de blessures
A61N 5/10 - RadiothérapieTraitement aux rayons gammaTraitement par irradiation de particules
34.
METHOD FOR PERFORMING A MAGNETIC RESONANCE MEASUREMENT COMPRISING MULTIPLE PARTIAL MEASUREMENTS
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 (Royaume‑Uni)
UNIV PARIS XIII PARIS-NORD VILLETANEUSE (France)
Université Paris Cité (France)
Inventeur(s)
Tripp, Donovan
Darwish, Omar
Sinkus, Ralph
Neji, Radhouene
Abrégé
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 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne de matériaux en mouvement, p. ex. angiographie à écoulement contrasté
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
G01R 33/56 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne
37.
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 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne par réduction du temps de balayage, c.-à-d. systèmes d'acquisition rapide, p. ex. utilisant des séquences d'impulsions écho-planar
G01R 33/54 - Systèmes de traitement du signal, p. ex. utilisant des séquences d'impulsions
38.
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 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
A61B 6/00 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations
A61B 6/04 - Mise en position des patientsLits inclinables ou similaires
39.
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 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
G06V 10/77 - Traitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/776 - ValidationÉvaluation des performances
G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p. ex. pour analyser les cas antérieurs d’autres patients
41.
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).
H05G 1/12 - Dispositions de l'alimentation en énergie pour alimenter le tube radiogène à rayons X avec du courant continu ou du courant alternatif redressé
H05G 1/24 - Dispositions de l'alimentation en énergie pour alimenter le tube radiogène à rayons X avec des impulsions uniques obtenant des impulsions en utilisant des dispositifs d'emmagasinage d'énergie
42.
METHOD FOR ACQUIRING A MAGNETIC RESONANCE IMAGE DATASET
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 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne par réduction du temps de balayage, c.-à-d. systèmes d'acquisition rapide, p. ex. utilisant des séquences d'impulsions écho-planar
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
G01R 33/56 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne
G01R 33/565 - Correction de distorsions d'image, p. ex. dues à des inhomogénéités de champ magnétique
43.
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.
H02J 7/00 - Circuits pour la charge ou la dépolarisation des batteries ou pour alimenter des charges par des batteries
A61B 6/00 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations
H01M 10/42 - Procédés ou dispositions pour assurer le fonctionnement ou l'entretien des éléments secondaires ou des demi-éléments secondaires
H02J 1/08 - Systèmes à trois filsSystèmes ayant plus de trois fils
H02J 7/34 - Fonctionnement en parallèle, dans des réseaux, de batteries avec d'autres sources à courant continu, p. ex. batterie tampon
44.
ESTIMATING A RATE OF RANDOMLY-OCCURRING COINCIDENCES IN A COUNTING X-RAY DETECTOR
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.
A61B 6/00 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations
G06T 5/20 - Amélioration ou restauration d'image utilisant des opérateurs locaux
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 6/00 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations
A61B 6/42 - Agencements pour détecter des radiations spécialement adaptés au diagnostic par radiations
50.
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 - Traitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
53.
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 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement basé sur la super-résolution, c.-à-d. où la résolution de l’image obtenue est plus élevée que la résolution du capteur
G01R 33/56 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne
G06T 3/4007 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement basé sur l’interpolation, p. ex. interpolation bilinéaire
56.
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 - Dispositions ou appareils pour la mesure des grandeurs magnétiques faisant intervenir la résonance magnétique utilisant la résonance magnétique nucléaire [RMN]
G16H 40/60 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santéTIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux
57.
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.
A61B 34/20 - Systèmes de navigation chirurgicaleDispositifs pour le suivi ou le guidage d'instruments chirurgicaux, p. ex. pour la stéréotaxie sans cadre
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 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santéTIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux
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.
A61B 6/00 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations
65.
MEDICAL IMAGING SYSTEM WITH A MAIN RAIL SYSTEM AND A SECURING RAIL SYSTEM
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.
A61B 6/00 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations
66.
ROI FILTER MODULE WITH A REDUCED INSTALLATION SPACE
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 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en transmettant la radiation à travers le matériau et formant des images des matériaux
67.
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 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p. ex. DICOM, HL7 ou PACS
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p. ex. l’édition
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux
G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p. ex. pour analyser les cas antérieurs d’autres patients
68.
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 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
G01R 33/54 - Systèmes de traitement du signal, p. ex. utilisant des séquences d'impulsions
G01R 33/563 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne de matériaux en mouvement, p. ex. angiographie à écoulement contrasté
70.
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 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
72.
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 - Analyse automatique non limitée à des procédés ou à des matériaux spécifiés dans un seul des groupes Manipulation de matériaux à cet effet
G01N 35/02 - Analyse automatique non limitée à des procédés ou à des matériaux spécifiés dans un seul des groupes Manipulation de matériaux à cet effet en utilisant une série de récipients à échantillons déplacés par un transporteur passant devant un ou plusieurs postes de traitement ou d'analyse
G01N 27/00 - Recherche ou analyse des matériaux par l'emploi de moyens électriques, électrochimiques ou magnétiques
G01N 27/414 - Transistors à effet de champ sensibles aux ions ou chimiques, c.-à-d. ISFETS ou CHEMFETS
G01N 33/487 - Analyse physique de matériau biologique de matériau biologique liquide
G01N 15/06 - Recherche de la concentration des suspensions de particules
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 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
A61B 90/00 - Instruments, outillage ou accessoires spécialement adaptés à la chirurgie ou au diagnostic non couverts par l'un des groupes , p. ex. pour le traitement de la luxation ou pour la protection de bords de blessures
75.
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 - Détails de structure, p. ex. résonateurs
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
77.
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 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne
G01R 33/561 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne par réduction du temps de balayage, c.-à-d. systèmes d'acquisition rapide, p. ex. utilisant des séquences d'impulsions écho-planar
G01R 33/563 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne de matériaux en mouvement, p. ex. angiographie à écoulement contrasté
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 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
G01R 33/34 - Détails de structure, p. ex. résonateurs
80.
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 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p. ex. l’édition
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.
G06T 5/94 - Modification de la plage dynamique d'images ou de parties d'images basée sur les propriétés locales des images, p. ex. pour l'amélioration locale du contraste
82.
METHOD FOR MONITORING AND/OR CONTROLLING A MEDICAL IMAGING PROCEDURE AND METHODS FOR PROVIDING TRAINED MACHINE LEARNING MODELS
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 - Appareils ou dispositifs pour le diagnostic par radiationsAppareils ou dispositifs pour le diagnostic par radiations combinés avec un équipement de thérapie par radiations
G01R 33/567 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne débloquées par des signaux physiologiques
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
83.
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 10/776 - ValidationÉvaluation des performances
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
84.
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 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p. ex. l’édition
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
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 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p. ex. l’édition
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux
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 de distorsions d'image, p. ex. dues à des inhomogénéités de champ magnétique
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
G01R 33/54 - Systèmes de traitement du signal, p. ex. utilisant des séquences d'impulsions
G01R 33/58 - Étalonnage des systèmes d'imagerie, p. ex. utilisant des sondes d'essai
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.
G01R 33/563 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne de matériaux en mouvement, p. ex. angiographie à écoulement contrasté
G01R 33/34 - Détails de structure, p. ex. résonateurs
G01R 33/38 - Systèmes pour produire, homogénéiser ou stabiliser le champ magnétique directeur ou le champ magnétique à gradient
91.
ANATOMICALLY AWARE VISION-LANGUAGE MODELS FOR MEDICAL IMAGING ANALYSIS
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.
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
92.
METHODS AND SYSTEMS FOR FEDERATED LEARNING OF A MACHINE LEARNED MODEL
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.
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/778 - Apprentissage de profils actif, p. ex. apprentissage en ligne des caractéristiques d’images ou de vidéos
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p. ex. l’édition
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.
