Medical X-ray apparatus; X-ray medical diagnostic apparatus;
X-ray computed tomography (CT) apparatus for medical use;
diagnostic imaging apparatus for medical purposes; medical
apparatus and instruments; X-ray detectors for medical
apparatus for medical purposes; X-ray detectors for X-ray
computed tomography (CT) apparatus for medical purposes.
2.
MEDICAL INFORMATION PROCESSING DEVICE, ULTRASONIC DIAGNOSIS DEVICE, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
A medical information processing device provided in one aspect of the present invention includes a processing circuit. The processing circuit acquires a plurality of pieces of first ultrasonic data obtained based on a result of an ultrasonic scan of a subject, applies a transformation to the pieces of first ultrasonic data to generate a plurality of pieces of second ultrasonic data characterized by a parameter other than time, continuously extracts signal components representing an object from the pieces of second ultrasonic data, and outputs third ultrasonic data, based on the continuously extracted signal components representing the object.
A medical apparatus according to an exemplary embodiment includes processing circuitry configured to acquire appearance information about a target area to be observed during a procedure in surgical treatment on a subject, and change a display state of a captured medical image of the target area based on the appearance information.
G16H 40/67 - 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 pour le fonctionnement à distance
According to one embodiment, an ultrasound diagnosis apparatus includes processing circuitry. The processing circuitry is configured to generate a first ultrasound image of a subject into which a medical tool has been inserted by executing, via an ultrasound probe, non-3D scanning of the subject in which at least one scanning surface is formed. The processing circuitry is configured to generate a second ultrasound image containing the medical tool by executing 3D scanning involving the first scanning. The processing circuitry is configured to estimate, based on the second ultrasound image, an angle of a first scanning surface of an ultrasound probe with which a first ultrasound image containing the medical tool can be generated. The processing circuitry is configured to switch from the non-3D scanning to execute the 3D scanning during image displaying in the non-3D scanning, and outputs the estimated angle of the first scanning surface.
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
A61B 8/12 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores dans des cavités ou des conduits du corps, p. ex. en utilisant des cathéters
An X-ray CT apparatus according to an embodiment includes a gantry, a supporter, and an injection path. The gantry includes a hollow into which a subject is inserted, an X-ray tube that emits X-rays to the hollow, and an X-ray detector that detects X-rays passed through the hollow. The supporter supports the gantry, and moves the gantry in a vertical direction. Through the injection path, a medical fluid is injected into the subject from at least one of an upper side and a lower side in the vertical direction of the 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
An ultrasound diagnosis apparatus according to an embodiment includes processing circuitry. The processing circuitry causes plural images to be displayed in plural second display regions that have been arranged, the plural images being obtained by an ultrasound scan or ultrasound scans and corresponding to a region of interest in a morphology image displayed in a first display region.
G06F 3/04845 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs pour la transformation d’images, p. ex. glissement, rotation, agrandissement ou changement de couleur
7.
MEDICAL IMAGE PROCESSING DEVICE AND MEDICAL IMAGE PROCESSING METHOD
A medical image processing device according to an embodiment of the present invention comprises: an acquisition unit; a setting unit; a detection unit; an image generation unit; and a display control unit. The acquisition unit acquires a medical moving image that is for medical use. The setting unit sets a detection target in the medical moving image. The detection unit detects an event related to the detection target included in the medical moving image. The image generation unit generates, on a slider bar including a start time point and an end time point of a change in the detection target, an operation image in which an icon for receiving an operation for displaying the event detected by the detection unit is disposed. The display control unit displays the medical moving image and the operation image on a display unit.
A nuclear medicine diagnostic apparatus includes processing circuitry configured to analyze respiration motion based on list mode data obtained through nuclear medicine scan on a subject having respiration motion and heartbeat motion, generate first images from respective division data sets obtained by dividing the list mode data for respective respiration phases as phases of the respiration motion, analyze the heartbeat motion for the respective respiration phases based on the list mode data, and generate second images from respective division data sets obtained by dividing phase data, obtained by dividing the list mode data for the respective respiration phases, for respective cardiac pulsation phases as phases of the heartbeat motion.
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
A bed device according to an embodiment has a force sensor, a first surface, and a second surface. The force sensor outputs an output signal corresponding to the weight of an object placed on a top plate. The force sensor is fixed to the first surface. The second surface is supported by the force sensor and has fixed thereto a movable component that moves in the horizontal direction by means of motive power from a drive source. The first surface and the second surface face each other with the force sensor therebetween.
G01G 19/52 - Appareils de pesée combinés avec d'autres objets, p. ex. avec de l'ameublement
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
An apparatus for performing parameter adaptation for motion compensation in a computed tomography (CT) imaging system is provided. The apparatus includes processing circuitry configured to receive projection data acquired from imaging an object using the CT imaging system, reconstruct, based on the received projection data, an image of the object, without performing motion compensation, identify a vessel in the reconstructed image, the vessel including a plurality of vessel slices, determine, based on features of the identified vessel, parameters to be used during motion estimation of the identified vessel, estimate a vessel motion field using the determined parameters, and reconstruct, based on the received projection data and the estimated vessel motion field, a motion-compensated image of the object.
An X-ray CT apparatus stores characteristic data representing a relationship between a filament current value and a tube current value in a case of switching between a first tube voltage and a second tube voltage. The apparatus sets a first tube current setting value at a time of application of the first tube voltage, and sets a second tube current setting value based on characteristic data and the first tube current setting value at a time of application of the second tube voltage. The apparatus switches between tube current feedback control based on the first tube current setting value at the time of application of the first tube voltage, and tube current feedback control based on the second tube current setting value at the time of application of the second tube voltage.
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
A bag according to an embodiment includes a housing part, a discharging part, and a discharging pipe device. The housing part includes a housing chamber that houses a liquid as a sample or a reagent. The discharging part includes a discharging path configured to discharge the liquid from the housing chamber. The discharging pipe device is connected to the discharging part, and discharges the liquid from the housing chamber via the discharging path. The discharging pipe device is connected to the discharging part to extend from the discharging part toward a direction having a horizontal direction component.
A medical processing apparatus according to the present embodiment comprises a processing circuitry configured to acquire three-dimensional volume data of a subject, extract a first section intersecting a reference line of the subject included in the three-dimensional volume data, extract a second section intersecting the first section from the three-dimensional volume data based on a posture of the subject included in the first section, and output information based on the second section.
A medical data processing device according to an embodiment includes processing circuitry. The processing circuitry acquires estimated data related to a state of a biological organ at a first timing, and actually measured data indicating the state of the biological organ at the first timing. The processing circuitry calculates a parameter based on the estimated data and the actually measured data. The processing circuitry estimates a state of the biological organ in a predetermined time phase at a second timing different from the first timing based on the parameter and the estimated data in the predetermined time phase.
G16H 50/50 - 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 la simulation ou la modélisation des troubles médicaux
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 7/50 - Récupération de la profondeur ou de la forme
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 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p. ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p. ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
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 50/30 - 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 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
15.
MEDICAL IMAGE DIAGNOSIS APPARATUS, MEDICAL INFORMATION PROCESSING APPARATUS, AND MEDICAL IMAGE PROCESSING METHOD
A medical image diagnosis apparatus according to an embodiment includes a processing circuit. The processing circuit is configured to obtain three-dimensional data related to a target site. The processing circuit is configured to generate a three-dimensional model of the target site by using the obtained three-dimensional data. The processing circuit is configured to calculate positions of one or more recommended cross-sections to be set for the target site, on the basis of information about the size of the target site obtained by using the three-dimensional model. The processing circuit is configured to cause a display device to display the positions of the one or more recommended cross-sections.
An ultrasonic diagnostic apparatus according to an embodiment has transmitting and receiving circuitry that transmits and receives ultrasonic waves, and processing circuitry. The transmitting and receiving circuitry is configured to perform first beamforming processing on reflected wave signals output from a plurality of transducer elements that receive reflected waves and perform second beamforming processing different from the first beamforming processing on the reflected wave signals. The processing circuitry is configured to calculate an evaluation value of spatial correlation of the reflected wave signals and perform third beamforming processing based on a first processing result that is a processing result of the first beamforming processing, a second processing result that is a processing result of the second beamforming processing, and the evaluation value.
According to one embodiment, a medical information communication apparatus includes processing circuitry. The processing circuitry is configured to select an imaging condition for acquiring medical data. The processing circuitry is configured to determine whether or not checking by an approver is required for the imaging condition. The processing circuitry is configured to send the imaging condition to a terminal configured to enable viewing by the approver if it is determined that the checking by the approver is required for the imaging condition.
G16H 40/20 - 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 la gestion ou l’administration de ressources ou d’établissements de soins de santé, p. ex. pour la gestion du personnel hospitalier ou de salles d’opération
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 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
18.
MEDICAL INFORMATION PROCESSING APPARATUS, MEDICAL DIAGNOSIS APPARATUS, AND MEDICAL INFORMATION PROCESSING METHOD
A medical information processing apparatus includes processing circuitry. The processing circuitry is configured to: acquire a user input concerning an operation of a medical apparatus; input the acquired user input concerning the operation of the medical apparatus into a trained model, and acquire an output from the trained model, the trained model having learned to, upon accepting, as an input, a user input, output an answer to the accepted user input; determine a feasibility of the acquired output in a local apparatus; and cause a display to display information corresponding to the output in accordance with the feasibility.
G09B 23/00 - Modèles à usage scientifique, médical ou mathématique, p. ex. dispositif en vraie grandeur pour la démonstration
G16H 40/40 - 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 la gestion d’équipement ou de dispositifs médicaux, p. ex. pour planifier la maintenance ou les mises à jour
G16H 70/20 - TIC spécialement adaptées au maniement ou au traitement de références médicales concernant des pratiques ou des directives
19.
MAGNETIC RESONANCE IMAGE RECONSTRUCTION DEVICE AND MAGNETIC RESONANCE IMAGE RECONSTRUCTION METHOD
A magnetic resonance image reconstruction device according to an embodiment is a magnetic resonance image reconstruction device that reconstructs magnetic resonance image data in which an artifact due to undersampling is removed or reduced based on undersampled k-space data, and includes a reconstruction unit reconstructing the magnetic resonance image data using a reconstruction network having a correction module. The correction module includes a regularization block generating second image data by performing a regularization process on first image data using a first neural network, and a data consistency block generating third image data by performing a data consistency process so that k-space data corresponding to the second image data approaches the undersampled k-space data. The correction module further includes at least one of a data consistency adjustment block adjusting the data consistency process and a regularization adjustment block adjusting the regularization process.
An image processing apparatus according to one embodiment includes processing circuitry is configured to acquire a first image and a second image that are obtained by imaging a subject at different times, acquire identification information on a part at a plurality of coordinates in the first image, and generate a subtraction image between the first image and the second image such that a corrected subtraction value, that is obtained by performing a predetermined correction process, is adopted as a pixel value of a pixel of interest, the predetermined correction process being performed on an initial subtraction value that represents a difference between a pixel value at a first coordinate in the first image corresponding to the pixel of interest and a pixel value at a second coordinate in the second image corresponding to the first coordinate, when the pixel of interest is identified as a first part based on the identification information, the predetermined correction process corresponding to a determination result of determination on whether or not the pixel value at the first coordinate and the pixel value at the second coordinate meet a predetermined condition.
G06T 3/40 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement
G06T 3/60 - Rotation d’images entières ou de parties d'image
G06T 5/50 - Amélioration ou restauration d'image utilisant plusieurs images, p. ex. moyenne ou soustraction
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
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
21.
Bed of a scanner for an x-ray tomography diagnosis apparatus
An X-ray computed tomography apparatus according to an embodiment includes a gantry body and processor. The gantry body supports an X-ray tube, an X-ray detector, and a data acquisition unit to be rotatable about a central axis of a bore. The X-ray tube generates X-rays, the X-ray detector detects X-rays generated by the X-ray tube and passing through a subject, and the data acquisition circuitry acquires projection data via the X-ray detector. The processor corrects detection angle information of the projection data in accordance with a correction amount based on a first reference angle in a rotation direction of the X-ray tube and a subject angle determining an orientation of the subject in the bore. The processor reconstructs a CT image relating to the subject based on the projection data and the corrected detection angle information.
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 6/12 - Agencements pour détecter ou localiser des corps étrangers
A61B 6/46 - Agencements pour l’interface avec l’opérateur ou avec le patient
25.
MEDICAL INFORMATION PROCESSING APPARATUS, MEDICAL INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
A medical image diagnostic apparatus of an embodiment includes processing circuitry. The processing circuitry acquires projection data of X-rays with which a subject is irradiated. The processing circuitry generates a medical image from the projection data through reconstruction processing. The processing circuitry removes noise from the medical image using a trained model. The processing circuitry outputs a denoise image via an output interface. The trained model is a machine learning model that is trained on the basis of a training data set in which an output image including noise is associated as a target with an input image including noise.
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 6/46 - Agencements pour l’interface avec l’opérateur ou avec le patient
26.
MEDICAL IMAGE DIAGNOSTIC DEVICE AND METHOD OF CONTROLLING MEDICAL IMAGE DIAGNOSTIC DEVICE
A medical image diagnostic device of an embodiment includes an imaging unit and processing circuitry. The imaging unit is configured to image a subject at a plurality of different positions including a predetermined reference position while rotating around the subject and to generate a plurality of pieces of raw image data including information indicating the predetermined reference position. The processing circuitry is configured to correct the reference position depending on a deviation between an orientation of the subject and a direction from the subject to the predetermined reference position, to cause the imaging unit to image the subject based on the corrected reference position, and to generate a reconstructed image by reconstructing the plurality of pieces of raw image data generated by the imaging unit based on the corrected reference position.
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
An X-ray computed tomography apparatus according to an exemplary embodiment includes an X-ray detector, a data acquisition unit, a rotating portion, a 1st processing circuitry, and a 2nd processing circuitry. The X-ray detector is configured to output output data corresponding to energy of an X-ray photon. The data acquisition unit is configured to acquire the output data from the X-ray detector and output count data for each of a plurality of energy bins. The rotating portion is configured to rotatably support the X-ray detector and the data acquisition unit. The 1st processing circuitry is provided in the rotating portion and is configured to generate data related to a plurality of material compositions based on the count data and output the data related to the plurality of material compositions. The 2nd processing circuitry is configured to perform a reconstruction process based on the data related to the plurality of material compositions.
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
28.
X-RAY CT DEVICE, MEDICAL IMAGE PROCESSING DEVICE, AND MEDICAL IMAGE PROCESSING METHOD
An X-ray CT device according to an embodiment includes a memory, and processing circuitry. The processing circuitry: estimates a component amount of an in vivo component and component amounts of a noise component and an unknown component based on a medical image in which a living body is depicted by using a physical model that takes a noise component and an unknown component into account; calculates likelihood of the component amounts with respect to the physical model as a first evaluation value; calculates a second evaluation value based on morphological features of the in vivo component, the noise component, and the unknown component; and updates the component amount of the in vivo component as well as the component amounts of the noise component and the unknown component based on the first evaluation value and the second evaluation value.
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
An X-ray CT apparatus according to an embodiment includes a photographing system configured to photograph a subject, and processing circuitry. The processing circuitry generates X-ray CT image data by performing reconstruction processing on projection data output from the photographing system, calculates an image feature quantity indicating a feature of a relation between one pixel on the X-ray CT image data and one or a plurality of pixels other than the former pixel, specifies a contribution region indicating a region on the X-ray CT image data delineating a feature having a high influence degree for a calculation result of the image feature quantity, and causes a display apparatus to display the X-ray CT image data representing the contribution region.
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 6/46 - Agencements pour l’interface avec l’opérateur ou avec le patient
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
30.
ANALYSIS APPARATUS, ULTRASOUND DIAGNOSTIC APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
According to one embodiment, an analysis apparatus includes processing circuitry. The processing circuitry obtains a thumbnail of each of multiple pieces of cross-section image data related to first cross-section image data selected by a user and showing a cross-section of an organ, specifies, using the multiple thumbnails obtained, a cross-section of an organ included in each of the multiple thumbnails, and selects a cross-section for use as a target of analysis other than a cross-section selected by the user from the specified cross-sections based on a degree of association between the first cross-section image data and each of the multiple pieces of cross-section image data.
A medical information processing apparatus comprising processing circuitry configured to receive omics data comprising a plurality of biomolecules and a plurality of associated measured values; receive a first plurality of associations mapping a respective biomolecule to another respective biomolecule; receive ontology data based on the omics data, the ontology data comprising a plurality of ontology terms associated with at least one other ontology term and/or at least one other biomolecule; and assign a value to each of the plurality ontology terms based on the omics data, the ontology data, and the associations between them. A value can be assigned to each of the ontology terms based on a propagation algorithm.
A magnetic resonance imaging apparatus according to an exemplary embodiment includes a superconducting coil, a first container, a radiation shield, a second container, first to third pipes, and a switching assembly. The first container houses the superconducting coil which is immersed in refrigerant liquid, and also contains refrigerant gas generated by vaporization of the refrigerant liquid. The radiation shield houses the first container. The second container houses the radiation shield. The first pipe directs the refrigerant gas in the first container into an outside of the radiation shield. The second pipe allows the refrigerant gas from the first pipe, to pass through so as to enable the refrigerant gas to exchange heat with the radiation shield. The third pipe discharges the refrigerant gas from the first pipe, to an outside. The switching assembly directs the refrigerant gas from the first pipe, into the second pipe or the third pipe.
G01R 33/3815 - Systèmes pour produire, homogénéiser ou stabiliser le champ magnétique directeur ou le champ magnétique à gradient utilisant des électro-aimants avec des bobines supraconductrices, p. ex. leurs alimentations
G01R 33/38 - Systèmes pour produire, homogénéiser ou stabiliser le champ magnétique directeur ou le champ magnétique à gradient
33.
MEDICAL IMAGE PROCESSING APPARATUS AND X-RAY DIAGNOSTIC APPARATUS
According to one embodiment, a medical image processing apparatus acquires a zeroth contrast-enhanced image, a first contrast-enhanced image, and a second contrast-enhanced image. The medical image processing apparatus calculates a first blood flow ratio between a zeroth blood flow rate in a myocardium in the reference state and a first blood flow rate in the acetylcholine stress state based on the zeroth contrast-enhanced image and the first contrast-enhanced image. The medical image processing apparatus calculates a second blood flow ratio between the zeroth blood flow rate and a second blood flow rate in the myocardium in the adenosine stress state based on the zeroth contrast-enhanced image and the second contrast-enhanced image.
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 6/46 - Agencements pour l’interface avec l’opérateur ou avec le patient
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
A medical image processing apparatus comprising processing circuitry configured to: receive a slab comprising a plurality of samples determined by a camera model, determine whether one or more first samples of the plurality of samples are part of an anatomical region of interest, project the slab along a view direction onto an image plane to form an image, wherein in response to a determination that the one or more first samples are part of the anatomical region of interest, the processing circuitry is configured to project the one or more first samples using a first projection mode and project one or more second samples of the plurality of samples that are not part of the anatomical region of interest using a second projection mode.
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
According to one embodiment, a cell detachment method comprising: a detachment step of discharging a liquid used for cryopreservation of cells toward a surface of a culture container in contact with the cells, where the cells are cultured, thereby detaching the cells from the surface; and a recovery step of recovering the detached cells together with the discharged liquid used for cryopreservation.
C12N 5/00 - Cellules non différenciées humaines, animales ou végétales, p. ex. lignées cellulairesTissusLeur culture ou conservationMilieux de culture à cet effet
C12M 1/00 - Appareillage pour l'enzymologie ou la microbiologie
36.
METHOD OF ADJUSTING ACQUISITION PARAMETERS IN A FLUOROSCOPY SYSTEM
A method of imaging includes obtaining a sequence of X-ray images including a first X-ray image and a second X-ray image, the first and second X-ray images being acquired sequentially using a first set of exposure parameters of an image scanning apparatus; inputting the first and second X-ray images into a trained first model to obtain a second set of exposure parameters, which is output from the trained first model; obtaining a third X-ray image acquired by the image scanning apparatus using the second set of exposure parameters; inputting at least the second X-ray image and the third X-ray image into a trained second model to obtain a restored X-ray third image, which is output from the trained second model; and outputting the restored X-ray third image, wherein the first model and the second model were trained together using a training sequence of images in a training process.
According to one embodiment, an X-ray tube control system includes a tube voltage control circuitry and a grid control circuitry. The grid control circuitry performs control to decrease a grid voltage to a first (ex. low) grid voltage and control to hold the first grid voltage exclusively within a first transition period in which a tube voltage makes a transition from a second (ex. high) tube voltage to a first tube voltage and a first (ex. low) hold period in which a tube voltage is held at the first tube voltage so as to prevent a tube current from exceeding an upper limit tube current based on allowable power.
G01T 1/29 - Mesure effectuée sur des faisceaux de radiations, p. ex. sur la position ou la section du faisceauMesure de la distribution spatiale de radiations
According to one embodiment, a medical information processing apparatus includes processing circuitry. The processing circuitry is configured to acquire examination purpose information regarding an examination purpose including a description regarding a first disease candidate of a patient. The processing circuitry is configured to acquire image interpretation information including the description regarding the first disease candidate from an image interpretation report regarding an image examination performed according to the examination purpose. The processing circuitry is configured to specify an incidental finding described for a second disease candidate different from the first disease candidate from the image interpretation information. The processing circuitry is configured to display a specified result on a display.
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 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
39.
INFORMATION ACQUISITION METHOD OF ACQUIRING INFORMATION ABOUT CELL VIABILITY, INFORMATION ACQUISITION SYSTEM, AND RECORDING MEDIUM
An information acquisition method including: an image acquisition step of acquiring a plurality of cell images photographed at a plurality of different photographing timings; a live cell region determination step of determining whether a cell region present in each of the plurality of cell images is a live cell region including a live cell; a tracking step of performing association of live cell regions derived from the same cell region which are respectively present in the plurality of cell images photographed at the plurality of different photographing timings with each other while tracing back in time to the first timing starting from a live cell region present in the cell image photographed at the second timing; and a viability determination step of determining that a live cell region successfully tracked in the tracking step among cell regions present in the cell image photographed at the first timing exhibits viability.
To provide a highly accurate cell image analysis method, provided is a cell image analysis method including: an image acquisition step of acquiring a time-series cell image group obtained by collecting a plurality of cell images obtained at a plurality of consecutive different timings in association with the timings; a region extraction step of extracting cell candidate regions from the cell images; a region tracking step of collecting, for the cell candidate regions over the plurality of cell images which are included in the time-series cell image group, the cell candidate regions determined to correspond to the same target in association with the timings, and acquiring the determined cell candidate regions as a time-series cell candidate region group; and an analysis step of analyzing information about a state of a cell, wherein the analysis step includes using a trained model.
G06V 20/69 - Objets microscopiques, p. ex. cellules biologiques ou pièces cellulaires
G06V 10/62 - Extraction de caractéristiques d’images ou de vidéos relative à une dimension temporelle, p. ex. extraction de caractéristiques axées sur le tempsSuivi de modèle
A head mounted display for use in a virtual reality, mixed reality or augmented reality system comprises a display device configured to display an image, a tracking system configured to determine a gaze direction of a user's eye and an optical system configured to project the image into the user's eye, the optical system comprising an adjustable optical device; and processing circuitry configured to control the adjustable optical device based on the gaze direction of the user's eye such that a position of the image projected into the user's eye is unchanged, when the gaze direction of the user's eye changes.
A medical data processing apparatus for determining performance of a trained model, the medical data processing apparatus comprising processing circuitry that is configured to:
provide to the model an input comprising data in response to which the model provides an output comprising at least one finding;
obtain at least one further finding from processing of further medical data; and
compare the at least one finding and the at least one further finding thereby to determine performance of the model.
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 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
43.
X-RAY CT APPARATUS, CONTROLLER OF X-RAY CT APPARATUS, AND CONTROL METHOD FOR X-RAY CT APPARATUS
In one embodiment, an X-ray CT apparatus can perform a tube-current modulation scan. The X-ray CT apparatus includes an X-ray tube, a memory, an X-ray tube power supply, processing circuitry, and a filament control circuit. The memory stores, for each tube voltage to be applied to the X-ray tube, characteristic data in which a filament current flowing through a filament in the X-ray tube and the tube current are associated with each other. The X-ray tube power supply applies the tube voltage to the X-ray tube by periodically switching the tube voltage between a first value and a second value lower than the first value. The processing circuitry updates the command value of the tube current at a predetermined timing according to switching of the tube voltage. The filament control circuit specifies a filament-current command-value corresponding to the command value of the tube current based on the characteristic 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
44.
MEDICAL IMAGE AND TEXT PROCESSING METHOD AND APPARATUS
An apparatus comprising processing circuitry configured to: obtain image data representing one or more medical images of a region of interest and processing said image data to identify one or more abnormal portions of the image by applying a first pre-determined model to the obtained image data; obtain medical text data corresponding to the one or more medical images of the region of interest and process said medical text data to identify one or more entities and their associated attributes by applying at least one further pre-determined model to the obtained medical text data; perform a matching process between the one or more identified abnormal portions and the one or more identified entities to obtain matched data comprising groupings of at least one identified abnormal portions and at least one entity, wherein the matching process is based on at least one or more properties of the identified abnormal portions of the image data and at least one or more of the attributes associated with the identified entities.
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
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
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
G16H 50/50 - 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 la simulation ou la modélisation des troubles médicaux
45.
MEDICAL INFORMATION PROCESSING DEVICE, MEDICAL INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
A medical information processing device of an embodiment includes processing circuitry. The processing circuitry is configured to acquire a CT image of a chest of a subject, acquires an esophageal pressure and an airway pressure of the subject, generate a risk information map in a lung field of the subject on a basis of the CT image, the esophageal pressure, and the airway pressure, estimate risk information in the lung field of the subject on a basis of the risk information map, and display the risk information map and the risk information on a display.
A medical information processing device of an embodiment includes processing circuitry. The processing circuitry automatically is configured to select, from among a plurality of applications, an execution application to be executed on a medical image that is a processing target, execute the execution application, set execution information regarding execution of processing of the processing target by the execution application on the basis of a result of referring to an examination end determination rule for supplementary information attached to the medical image, and update the examination end determination rule on the basis of a past result of processing by the execution application.
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
47.
MEDICAL IMAGE DIAGNOSIS APPARATUS, MEDICAL IMAGE PROCESSING APPARATUS, AND METHOD
According to one embodiment, a medical image diagnosis apparatus includes an acquisition unit and an image capturing condition determination unit. The acquisition unit acquires subject information regarding a subject that includes a first medical image obtained by capturing an image of a diagnosis target region of the subject under a first image capturing condition. The image capturing condition determination unit determines a second image capturing condition to capture a second medical image of the subject, based on the subject information, and a learned model obtained by executing learning while associating evaluation information regarding a medical image and an image capturing condition.
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
An ultrasound diagnosis apparatus includes: a transmission and reception circuitry configured to perform, via an ultrasound probe, a first ultrasound scan on a first region in a subject who has a contrast agent injected and a second ultrasound scan on at least a part of a second region in the subject overlapping with the first region, the second ultrasound scan including transmitting and receiving two types of ultrasound waves of which one or both of amplitude levels and phases are different from each other; and processing circuitry configured to generate a blood flow image corresponding to one frame by implementing a Doppler method on the basis of a data sequence including reception data obtained from the first ultrasound scan performed multiple times in mutually the same position within the first region to have the second ultrasound scan performed in-between and to generate a contrast-enhanced image based on a result of the second ultrasound scan performed at least one time.
A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains an organ model, in which the target organ for treatment is expressed, based on a medical image; identifies a treatment condition which represents a treatment-related condition including at least the treatment position in the organ model; estimates a post-treatment feature quantity based on the organ model and the treatment condition; decides on a display condition regarding the treatment position in the organ model based on the estimated feature quantity; and displays, in a display device, the organ model according to the decided display condition.
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p. ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p. ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry acquires an input image to be processed. The processing circuitry generates a reference image from the input image using a trained model. The processing circuitry adjusts the image quality of the input image. The processing circuitry compares the image-quality-adjusted image, which is the input image with the adjusted image quality, with the reference image and calculates an image quality difference between the images. The trained model is a machine learning model trained on the basis of a training data set including two unpaired images. The processing circuitry readjusts the image quality of the input image on the basis of the image quality difference.
An ultrasound diagnostic apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to measure a plurality of tissue property parameters based on a reflected wave signal received from a subject. The processing circuitry is configured to calculate a reliability index of an index value based on the plurality of tissue property parameters, based on each of reliabilities of the plurality of tissue property parameters.
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
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
52.
FAST PATIENT-SPECIFIC AUTOMATIC TUBE CURRENT MODULATION WITH IMAGE REGION-OF-INTEREST NOISE CONTROL FOR COMPUTED TOMOGRAPHY
A method, apparatus, and computer-readable storage medium for controlling X-ray computed tomography (CT) imaging. A first set of projection data is acquired in a first CT scan of an object with a CT imaging apparatus. The first CT image data is reconstructed from the first set of projection data. X-ray tube current modulation information is determined for a second CT scan of the object, based on a noise propagation model between X-ray projection data and CT image data, and using, as inputs, the obtained first set of projection data, information indicating an imaging region-of-interest (ROI) for the second CT scan, and a target image quality level in the imaging ROI. The second CT scan of the object is obtained based on the obtained X-ray tube current modulation information.
An X-ray CT apparatus of an embodiment includes processing circuitry. The processing circuitry configured to acquire a number of photons by performing a CT scan on a target event, generate a first feature amount from the number of photons, match the first feature amount to second feature amounts generated using a machine learning model from the number of photons of a reference event, the number of photons of the reference event being a number of photons generated from known component amounts of the reference event and having a nonlinear relationship with the known component amounts, and estimate the known component amounts corresponding to the second feature amount matched to the first feature amount as component amounts of the target event.
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 6/42 - Agencements pour détecter des radiations spécialement adaptés au diagnostic par radiations
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
A reagent container according to the embodiment is installed in a reagent storage that rotates in an automatic analyzer. The reagent container includes a shielding portion. The shielding portion partially shields the inner diameter side and the outer diameter side in the rotation inside the reagent container. A gap between the shielding portion and the side surface of the reagent container is configured to increase from the upper portion toward the lower portion of the shielding portion.
B01L 3/00 - Récipients ou ustensiles pour laboratoires, p. ex. verrerie de laboratoireCompte-gouttes
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
55.
MEDICAL DATA PROCESSING METHOD, MODEL GENERATION METHOD, MEDICAL DATA PROCESSING APPARATUS, AND COMPUTER-READABLE NON-TRANSITORY STORAGE MEDIUM STORING MEDICAL DATA PROCESSING PROGRAM
A medical data processing method according to an embodiment includes inputting first medical data relating to a subject imaged with a medical image capture apparatus to a learned model to configured to generate second medical data having lower noise than that of the first medical data and having a super resolution compared with the first medical data based on the first medical data to output the second medical data.
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
G06T 3/4046 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement utilisant des réseaux neuronaux
G06T 5/50 - Amélioration ou restauration d'image utilisant plusieurs images, p. ex. moyenne ou soustraction
A magnetic resonance imaging apparatus according to exemplary embodiments includes a gradient magnetic field coil, a gradient magnetic field power supply, an analysis unit, a power calculation unit, and a voltage calculation unit. The gradient magnetic field coil applies a gradient magnetic field to a subject. The gradient magnetic field power supply applies a gradient magnetic field current to the gradient magnetic field coil and includes a capacitor for supplementing power therein. The analysis unit calculates, for each frequency, a current value of the gradient magnetic field current to be output to the gradient magnetic field coil in executing a pulse sequence. The power calculation unit calculates power consumption in the gradient magnetic field coil based on a resistance value for each frequency of the gradient magnetic field coil and a current value. The voltage calculation unit calculates a voltage value of the capacitor based on the power consumption.
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
G01R 33/36 - Détails électriques, p. ex. adaptations ou couplage de la bobine au récepteur
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
57.
ION-SELECTIVE MEMBRANE, ION-SELECTIVE ELECTRODE, ION SENSOR, AND SPECIMEN TESTING DEVICE
An ion-selective membrane of an embodiment includes a metal porphyrin compound, a polymer, and a membrane solvent. The membrane solvent is a compound that satisfies CLogP≥9. The compound has a benzene ring. The first position of the benzene ring is an alkyl ester group having 5 or more and 19 or less carbon atoms which may have a substituent. At least one of the third, fourth, and fifth positions of the benzene ring is an alkyl ester group having 5 or more and 19 or less carbon atoms which may have the substituent.
A magnetic resonance imaging apparatus includes processing circuitry configured to collect a plurality of magnetic resonance signals while changing relative relationship between echoes and acquisition windows, and generate a magnetic resonance image based on data obtained by combining the plurality of magnetic resonance signals.
G01R 33/56 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne
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
59.
DATA PROCESSING APPARATUS, MAGNETIC RESONANCE IMAGING APPARATUS, AND DATA PROCESSING METHOD
A data processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to output first complementary data by inputting, to a first neural network, first partial sampling data resulting from performing a partial sampling process; to obtain first corrected data, by performing a process to improve a consistency degree between the first complementary data and the first partial sampling data; to generate second partial sampling data, on the basis of the first corrected data and the first partial sampling data; and to output second complementary data, by inputting the second partial sampling data to a second neural network.
G06T 3/4046 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement utilisant des réseaux neuronaux
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
09 - Appareils et instruments scientifiques et électriques
10 - Appareils et instruments médicaux
35 - Publicité; Affaires commerciales
37 - Services de construction; extraction minière; installation et réparation
38 - Services de télécommunications
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Telecommunication machines and apparatus; radio
transmitters, receivers, and controllers for remotely
monitoring and controlling the status of medical apparatus;
computer software; monitors [computer programs];
downloadable computer software for remote monitoring and
analysis; computer software for remote maintenance by remote
monitoring of medical equipment; network servers; computer
software for dosimetry of medical equipment; computer
workstations [hardware]. Medical apparatus; diagnostic imaging apparatus for medical
purposes. Business management analysis; business consultancy services
relating to medical equipment; business consulting and
business information in the medical field; collection,
systematization, compilation and analysis of business data
and information stored in computer databases; compilation of
information into computer databases; compilation of medical
data and information into computer databases; business data
compilation relating to the operational status of medical
equipment into computer databases; computerized management
of medical records and files. Repair or maintenance of medical machines and apparatus and
providing information relating thereto; repair or
maintenance of medical machines and equipment by remote
monitoring and provision of information related thereto. Telecommunication; providing access to Internet databases
containing medical data and information; operation of
communication forums on medical data and medical information
on the Internet. Computer programming; rental of computers; providing
computer programs on data networks; cloud computing; server
hosting; hosting platforms on the Internet; platform as a
service [PaaS]; design of data processing systems;
monitoring of medical apparatus over computer network or
communication network; monitoring of computer system
operation by remote access; creation, maintenance, and
updating of computer software; configuration, installation,
fault diagnosis, repair, upgrading and maintenance of
computer software; computer security consultancy; providing
temporary use of online non-downloadable software; software
as a service [SaaS]; technological advice relating to
computers, automobiles and industrial machines.
61.
IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
An image processing apparatus executes image acquisition processing of acquiring an image taken of an object, executes first extraction processing of extracting a first region in correspondence with a region of the object by using the image, executes parameter acquisition processing of acquiring a parameter for performing normalization of the image, based on a pixel value of a pixel in the first region and based on a contribution degree indicating a probability that the pixel is included in the object, executes normalization processing of acquiring a normalized image created by normalizing the image by using the image and the parameter, and executes second extraction processing of more finely extracting a region of the object than the first region by using the normalized image.
G06V 10/72 - Préparation de données, p. ex. prétraitement statistique des caractéristiques d’images ou de vidéos
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 10/28 - Quantification de l’image, p. ex. seuillage par histogramme visant à discriminer entre les formes d’arrière-plan et d’avant-plan
62.
MEDICAL IMAGE ANALYZING APPARATUS, MEDICAL IMAGE ANALYZING METHOD, AND MEDICAL INFORMATION PROCESSING APPARATUS
A medical image analyzing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image of a target patient and information indicating an area of interest in the medical image as accompanying information, access a patient information database storing medical images of a plurality of patients, make an evaluation of a similarity measure for the patients based on image analysis of the obtained accompanying information and the medical images of the patients, and extract similar patient similar to the target patient using the evaluation, obtain a plurality of medical images and medical documents created for the extracted similar patients, obtain a summary of the medical images by analyzing the medical images, and create a document regarding the medical image of the target patient based on the summary of the medical images, the obtained accompanying information, and a summary of the obtained medical documents.
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 50/70 - 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
63.
SUPERCONDUCTING MAGNET AND MAGNETIC RESONANCE IMAGING APPARATUS
According to an embodiment, a superconducting magnet includes a loop-shaped superconducting coil and a cryostat. The loop-shaped superconducting coil forms a static magnetic field. The cryostat has a top plate portion and a bottom plate portion and is a housing storing the superconducting coil. In at least one of a space on an inner peripheral side or a space on an outer peripheral side of the superconducting coil, a part of at least one of the top plate portion or the bottom plate portion is bent toward an inner side of the cryostat and joined to a part of the other of the top plate portion or the bottom plate portion.
A medical image processing device of an embodiment includes processing circuitry. The processing circuitry acquires a medical image in which at least blood vessels of a patient are captured and patient information regarding the patient, estimates a state of a thrombus captured in the medical image based on the medical image and the patient information, outputs an estimated result related to the estimated thrombus, determines a thrombus removal method for removing the thrombus based on the medical image, the patient information, and the estimation result, outputs a result of determination of the thrombus removal method, generates a display image for presenting any one or a plurality of the medical image, the estimation result, and the determination result, and causes a display device to display the display image.
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 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p. ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p. ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p. ex. l’édition
65.
MEDICAL IMAGE PROCESSING DEVICE, MEDICAL IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
A medical image processing device of an embodiment includes processing circuitry. The processing circuitry is configured to acquire medical images of a plurality of time phases of a brain of a subject, having one of left and right sides of the brain as an affected side and the other as a healthy side, to derive feature amounts related to collateral circulation in the brain of the subject based on the acquired original medical images, and to analyze a time phase delay in the affected side relative to the healthy side based on a result of comparing the feature amounts of the affected side and the healthy side for each of the plurality of time phases.
A magnetic resonance imaging apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires one-dimensional projection data in a phase encoding direction of a subject to be a target of main imaging. The processing circuitry measures a subject thickness in the phase encoding direction using the one-dimensional projection data. The processing circuitry calculates, based on the subject thickness, an excitation thickness and an excitation position of a saturation pulse applied outside an imaging area within the subject in the phase encoding direction when performing the main imaging.
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
A61B 5/107 - Mesure de dimensions corporelles, p. ex. la taille du corps entier ou de parties de celui-ci
67.
STATIC FIELD ADJUSTMENT APPARATUS AND MAGNETIC RESONANCE IMAGING SYSTEM
According to one embodiment, a static field adjustment apparatus includes a plurality of holding members that hold a magnetic member for adjusting a distribution of a static magnetic field to be used in magnetic resonance imaging. All or some of the holding members are stacked in an axial direction and/or a radial direction of a magnet that has an annular shape and generates the static magnetic field, in a first space on an internal diameter side of the magnet.
G01R 33/3815 - Systèmes pour produire, homogénéiser ou stabiliser le champ magnétique directeur ou le champ magnétique à gradient utilisant des électro-aimants avec des bobines supraconductrices, p. ex. leurs alimentations
G01R 33/3873 - Compensation des inhomogénéités utilisant des corps ferromagnétiques
According to one embodiment, an automatic analysis apparatus includes a reagent storage and a reagent container arm. The reagent storage includes an outer circumferential table on which a plurality of reagent containers are loaded and an inner circumferential table located inside the outer circumferential table and on which a plurality of reagent containers are loaded. The reagent container arm conveys a reagent container to the inner circumferential table through between the reagent containers loaded on the outer circumferential table.
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 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 35/10 - Dispositifs pour transférer les échantillons vers, dans ou à partir de l'appareil d'analyse, p. ex. dispositifs d'aspiration, dispositifs d'injection
69.
MAGNETIC RESONANCE IMAGING APPARATUS AND STATIC MAGNETIC FIELD CORRECTION METHOD
A magnetic resonance imaging apparatus according to an exemplary embodiment includes a magnet, a gradient magnetic field coil, a sequence controller, and a plurality of metal shims. The magnet generates a static magnetic field. The gradient magnetic field coil applies a gradient magnetic field to a subject. The sequence controller applies a current to the gradient magnetic field coil by executing a first pulse sequence. The plurality of metal shims is used for passive shimming in which the plurality of metal shims is arranged based on the static magnetic field distribution in a state where a temperature of the gradient magnetic field coil is increased by execution of the first pulse sequence. The sequence controller executes a second pulse sequence for imaging the subject after completion of the passive shimming.
G01R 33/3873 - Compensation des inhomogénéités utilisant des corps ferromagnétiques
G01R 33/38 - Systèmes pour produire, homogénéiser ou stabiliser le champ magnétique directeur ou le champ magnétique à gradient
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
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
70.
APPARATUS AND METHOD FOR MULTIMODAL DATA FUSION FOR ACCURATE DIAGNOSIS
According to some embodiments, a method comprises obtaining data in multiple modalities, including data in an image modality and data in a biomarker modality; obtaining one or more trained machine-learning models; generating a first multi-modality group from the data in multiple modalities, wherein the first multi-modality group includes data in at least the image modality and in the biomarker modality; generating a group of intermediate data, wherein generating the group of intermediate data includes inputting the first multi-modality group into a machine-learning model that has been trained to extract features from input multi-modality data and output the features as the intermediate data; and generating a first classification result based on at least the group of intermediate data, wherein generating the first classification result includes inputting the intermediate data into a machine-learning model that has been trained to output the classification result based on the group of intermediate data.
In one embodiment, an X-ray diagnostic apparatus includes a top plate, a video system, a compensation filter, and processing circuitry. On the top plate, an object is to be placed. The video system includes an X-ray tube and an X-ray detector. The compensation filter is configured to attenuate X-rays from the X-ray tube toward the object and to be movable from a position with respect to the X-ray tube. The processing circuitry is configured to: set an initial position of the compensation filter with respect to the X-ray tube to cover a predetermined part of the object; and move a position of the compensation filter with respect to the X-ray tube from the initial position to track the predetermined part in such a manner that the compensation filter keeps covering the predetermined part of the object when at least one of the top plate and the video system is moved.
A61B 6/40 - Agencements pour générer des radiations spécialement adaptés au diagnostic par radiations
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 6/10 - Moyens de sécurité spécialement adaptés à cet effet
A61B 6/12 - Agencements pour détecter ou localiser des corps étrangers
A61B 6/46 - Agencements pour l’interface avec l’opérateur ou avec le patient
72.
MEDICAL IMAGE PROCESSING APPARATUS AND X-RAY COMPUTED TOMOGRAPHY APPARATUS
A medical image processing apparatus according to an exemplary embodiment includes processing circuitry. The processing circuitry determines a body position of a subject during a scan based on an imaging condition related to the scan of the subject. The processing circuitry identifies identify, from a storage device that stores a body position image representing the body position in association with a corresponding type of the body position, a body position image corresponding to the body position of the subject determined. The processing circuitry generates subject information about the subject in which the medical image obtained by the scan is in association with the body position image identified. The processing circuitry outputs the subject information generated.
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
According to one embodiment, a magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry designs a first pulse sequence for a slice position relating to a first slice group and a slice for a navigator echo, the first slice group including a plurality of slices for multi-slice imaging by simultaneous multi-slice excitation. The processing circuitry acquires an echo signal by simultaneously exciting the first slice group and the slice for the navigator echo based on the first pulse sequence.
G01R 33/483 - Systèmes d'imagerie RMN avec sélection de signaux ou de spectres de régions particulières du volume, p. ex. spectroscopie in vivo
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
74.
ULTRASONIC IMAGE PROCESSING APPARATUS, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING ULTRASONIC IMAGE PROCESSING PROGRAM, AND ULTRASONIC IMAGE PROCESSING METHOD
In one embodiment, an ultrasonic image processing apparatus includes processing circuitry. The processing circuitry is configured to: acquire a plurality of ultrasonic images in a prescribed period; and select a first ultrasonic image of a specific time phase from the plurality of ultrasonic images in the prescribed period based on a selection standard which is preset.
According to one embodiment, an ultrasonic diagnosis apparatus includes processing circuitry. The processing circuitry acquires three-dimensional Doppler data of an observation target, calculates a gradient of a surface of the observation target using a first element included in the Doppler data, generates a first rendering image of the observation target based on a second element included in the Doppler data, which is different from the first element, and generates a second rendering image considering shading based on the gradient and the first rendering image.
A PET apparatus includes a detector block including a miniblock including detector crystals, a first detector crystal and a second detector crystal being separated by an inner reflector, the inner reflector having a depth-dependent transparency, a first photosensor configured to detect light from a gamma ray detection event, and a second photosensor configured to detect the light from the gamma ray detection event, a first intensity and a second intensity of the light detected by the first and second photosensor being dependent on the depth-dependent transparency of the inner reflector; and processing circuitry configured to determine, based on the detected first intensity, a first energy, determine, based on the detected second intensity, a second energy, and determine, based on the first energy and the second energy, a depth of interaction (DOI) of the gamma ray detection event.
G01T 1/29 - Mesure effectuée sur des faisceaux de radiations, p. ex. sur la position ou la section du faisceauMesure de la distribution spatiale de radiations
G01T 1/20 - Mesure de l'intensité de radiation avec des détecteurs à scintillation
G01T 1/202 - Mesure de l'intensité de radiation avec des détecteurs à scintillation le détecteur étant du cristal
A nuclear medicine diagnosis apparatus according to an embodiment includes processing circuitry configured: to generate a feature vector for each of the mini frames from list mode data acquired by performing a nuclear medicine scan and to calculate a Euclidean distance between each of the feature vectors corresponding to frames and a reference phase vector; to calculate, on the basis of the Euclidean distances, a mean Euclidean distance for a plurality of conditions obtained by varying a percentage of counts to be used in a reconstructing process and to determine the percentage on the basis of a relationship between the percentage and the mean Euclidean distance; and to generate a gated image by carrying out an image reconstruction while using the determined percentage as a gating condition.
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
A method for performing image enhancement using a neural network is provided. The method includes acquiring an image of an imaging object, and applying the acquired image to a trained neural network to generate an image-enhanced image of the imaging object. The neural network was trained by receiving a training image pair including a first image and a second image, performing an image intensity preprocessing on the received image pair to generate a preprocessed first image and a preprocessed second image, such that the preprocessed first image has a first intensity range covering a portion of an intensity range of the first image, and the preprocessed second image has a second intensity range covering a portion of an intensity range of the second image, and training the neural network using the preprocessed first image as an input image and the preprocessed second image as a target image.
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
G16H 70/60 - TIC spécialement adaptées au maniement ou au traitement de références médicales concernant des pathologies
79.
POPULATION-BASED DATA-DRIVEN GATING BASED ON CLUSTERING SHORT-FRAME DATA FEATURES
A method for gating positron emission tomography (PET) data, including receiving tomography data acquired by imaging an object using a PET apparatus, segmenting the received tomography data into a plurality of bins of tomography data, generating a latent feature vector for each bin of the plurality of bins of tomography data using a feature extraction neural network, the feature extraction neural network being pre-trained to extract latent feature vectors on a set of training data, clustering the generated latent feature vectors; and reconstructing an image using the received tomography data based on the clustering of the generated latent feature vectors.
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
80.
RECONSTRUCTION APPARATUS, METHOD, AND MAGNETIC RESONANCE IMAGING APPARATUS
According to one embodiment, a reconstruction apparatus includes processing circuitry, the processing circuitry is configured to generate one or more sparse reconstructed images by performing image reconstruction on k-space data collected at each of a plurality of coils through under-sampling. The processing circuitry generates a first sensitivity map corresponding to each coil of the plurality of coils by using a first trained model. The processing circuitry performs a data consistency process for improving a degree of coincidence of data relating to the one or more sparse reconstructed images by using the first sensitivity map. The processing circuitry generates a full reconstructed image by performing a coil synthesis process using a second sensitivity map on the one or more sparse reconstructed images subjected to the data consistency process.
G01R 33/56 - Amélioration ou correction de l'image, p. ex. par des techniques de soustraction ou d'établissement de moyenne
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
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
81.
MEDICAL INSPECTION DEVICE MANAGEMENT SYSTEM, ULTRASONIC DIAGNOSIS APPARATUS AND MANAGEMENT APPARATUS
A medical inspection device management system according to the present embodiment comprises one or a plurality of medical inspection devices having a self-traveling function of moving to a destination and a management apparatus, wherein the management apparatus includes a first processing circuitry configured to select an available medical inspection device based on an inspection order, set the destination of the selected medical inspection device, and transmit destination information regarding the destination to the selected medical inspection device.
G16H 40/20 - 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 la gestion ou l’administration de ressources ou d’établissements de soins de santé, p. ex. pour la gestion du personnel hospitalier ou de salles d’opération
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
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 40/67 - 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 pour le fonctionnement à distance
82.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
An information processing device of an embodiment includes a processing circuit. The processing circuit acquires a reply from a user. The processing circuit estimate medical treatment information including a plurality of preferences of the user regarding medical treatment on the basis of the reply. The processing circuit determine a response to the reply on the basis of the medical treatment information. The processing circuit outputs the response via an output interface. Furthermore, the processing circuit determines, as the response, at least one of a narrowed response and an approval request to the user.
A medical information processing device of an embodiment includes processing circuitry. The processing circuitry is configured to acquire a machine learning model and training data used to train the machine learning model, determine an inference basis for each piece of the training data using the machine learning model to generate inference basis visualization results, determine a concept emphasized by the machine learning model during inference based on the inference basis visualization results, calculate a concept reflection degree of each piece of the training data related to the concept, and generate visualization information of a dependency between the concept and a feature interpretable by a user in the training data based on the concept reflection degree and the feature interpretable by the user.
A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry sequentially acquires an X-ray image including a device inserted into a subject. Then, the processing circuitry detects a distal end of the device on the X-ray image. Then, the processing circuitry determines a position on the device distant from the distal end, as a base point. Then, the processing circuitry generates an image in which at least a position of the base point is located at the same position or within a predetermined range including the position, among a plurality of the X-ray images, and displays the image on the display.
A61B 6/12 - Agencements pour détecter ou localiser des corps étrangers
A61B 6/46 - Agencements pour l’interface avec l’opérateur ou avec le patient
G06T 3/40 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement
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
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
85.
Fast diffusion-based image restoration workflow via sharing of initial diffusion steps
A method of denoising a plurality of input images, including grouping the plurality of input images into a plurality of groups; determining, for each group of the plurality of groups, an initial representative image for the group; performing, for each group, a sequence of T1 denoising sampling steps using a diffusion-based probabilistic model, starting with the initial representative image for the group, to generate a corresponding sequence of representative images for the group, wherein T1 is an integer greater than or equal to 1; and for each input image in each group, performing a second sequence of T2 denoising sampling steps using the model to generate a final image that is a restored image corresponding to the input image, wherein T2 is an integer greater than or equal to 1, and T=T1+T2.
An X-ray diagnosis apparatus according to an embodiment is provided with processing circuitry configured to: acquire a plurality of X-ray images sequentially from a subject with a medical device inserted into a body of the subject; determine a region including the medical device in the X-ray images; calculate a degree to which the medical device is dwelling in the region based on the X-ray images, assign weights to a plurality of pixels included in the region based on the degree, and calculate a parameter related to the region based on the weights and pixel values of the pixels; and set an X-ray condition based on the parameter.
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 6/46 - Agencements pour l’interface avec l’opérateur ou avec le patient
Provided are: a recording unit that records one or more measurement items performed on a specimen put in at least one specimen container and a measurement order of each of the measurement items; a specimen dispensing mechanism that dispenses the specimen selected as a measurement target based on the measurement order into at least one of a first reaction container or a second reaction container; a first measurement unit that performs coagulation measurement, which is measurement of a coagulation item, on the specimen dispensed into the first reaction container after completion of a first preparation process determined in advance; and a second measurement unit that performs specific measurement, which is the measurement item different from the measurement of the coagulation item, on the specimen dispensed into the second reaction container after completion of a second preparation process determined in advance.
G01N 35/10 - Dispositifs pour transférer les échantillons vers, dans ou à partir de l'appareil d'analyse, p. ex. dispositifs d'aspiration, dispositifs d'injection
G01N 33/86 - Analyse chimique de matériau biologique, p. ex. de sang ou d'urineTest par des méthodes faisant intervenir la formation de liaisons biospécifiques par ligandsTest immunologique faisant intervenir le temps de coagulation du sang
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
An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires a first image including a first region image in which a common subject is imaged and a second image including a second region image corresponding to the first region image, on the basis of a first pixel value constituting the first region image and a first reference value, estimates the confidence level of the first pixel value, on the basis of a second pixel value constituting the second region image and a second reference value different from the first reference value, estimates the confidence level of the second pixel value and acquires the confidence level of a subtraction value between the first pixel value and the second pixel value on the basis of the confidence level of the first pixel value and the confidence level of the second pixel value.
G06T 5/20 - Amélioration ou restauration d'image utilisant des opérateurs locaux
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
89.
MICRO FLOW PATH DEVICE, SEPARATION DEVICE, AND SEPARATION METHOD
A micro flow path device includes a flow path revolving along a curve. A flow path cross section obtained by cutting the flow path in a direction orthogonal to a direction in which a liquid in which particles are dispersed flows has an asymmetric shape. A flow path cross-sectional area S1 on an inner circumferential side with respect to a line segment LS connecting a point PP having a maximum distance to a lower side on an upper side and the lower side by a shortest distance is larger than a flow path cross-sectional area S2 on an outer circumferential side with respect to the line segment LS.
According to one embodiment, An X-ray diagnostic apparatus includes an X-ray tube, an X-ray detector panel, processing circuitry, and a lighting field projector. The X-ray detector panel detects X-rays irradiated from the X-ray tube and transmitted through an object. The processing circuitry is configured to select one or more lighting fields from a plurality of lighting fields for AEC (Automatic Exposure Control) provided in the X-ray detector panel, or to set one or more lighting fields for AEC in the X-ray detector panel. The lighting field projector visibly projects information indicating the selected or set one or more areas corresponding to the one or more lighting fields on the object using visible light.
A61B 6/08 - Moyens auxiliaires pour diriger le faisceau de radiations sur un point particulier, p. ex. en utilisant des faisceaux lumineux
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 6/46 - Agencements pour l’interface avec l’opérateur ou avec le patient
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
91.
MEDICAL IMAGE PROCESSING APPARATUS, MEDICAL IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING MEDICAL IMAGE PROCESSING PROGRAM
A medical image processing apparatus includes processing circuitry that identifies a first area with a lesion in a site of a subject based on a first medical image generated by first imaging of the site; determines whether the first area is bilateral or unilateral relative to the site, based on a position of the first area; upon determining that as bilateral, decides, as a second area, a normal portion in the site in a second medical image generated by different, second imaging; upon determining that as unilateral, decides, in the second medical image, as the second area, an area line symmetric to the first area about a centerline of the site; calculates, in the second medical image, first and second feature amounts of the respective first and second areas; and calculates an index representing mismatch between the first and second medical images, based on the first and second feature amounts.
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 5/055 - 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
G06T 7/68 - Analyse des attributs géométriques de la symétrie
An ultrasonic diagnostic apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured to acquire ultrasound images of a plurality of frames by continuous scanning of a subject using an ultrasonic probe. The processing circuitry is further configured to distinguishably display positions on a time axis, where ultrasound image groups have been acquired, for each ultrasound image group which includes two or more frames which include a common examination object among the plurality of frames.
A monitoring camera system according to an embodiment includes processing circuitry configured: to acquire camera image data obtained by a camera installed in an examination room and configured to image an environment including a medical apparatus with which it is possible to place an examined subject; to generate display image data on a basis of the camera image data; and to cause a display to display the display image data. The processing circuitry is configured: to estimate a placement region corresponding to a region in which the examined subject is placed in the camera image data; to generate corrected image data obtained by correcting the camera image data in accordance with the placement region; to estimate a region representing the examined subject and being included in the corrected image data; and to generate the display image data on the basis of the corrected image data and the region representing the examined subject.
G06V 10/22 - Prétraitement de l’image par la sélection d’une région spécifique contenant ou référençant une formeLocalisation ou traitement de régions spécifiques visant à guider la détection ou la reconnaissance
G06V 10/24 - Alignement, centrage, détection de l’orientation ou correction de l’image
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
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
94.
NUCLEAR MEDICINE DIAGNOSIS DEVICE, REGION-OF-INTEREST MOVEMENT STATE DETECTION METHOD, AND STORAGE MEDIUM
According to an embodiment, a nuclear medicine diagnosis device includes processing circuitry. The processing circuitry collects radiation data obtained by detecting radiation based on radioactive medicine administrated to a subject, divides the radiation data into a plurality of radiation data segments with predetermined time widths, and detects the movement state of a region of interest in a body of the subject based on the radiation data segments.
A61B 6/42 - Agencements pour détecter des radiations spécialement adaptés au diagnostic par radiations
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 6/46 - Agencements pour l’interface avec l’opérateur ou avec le patient
95.
MEDICAL INFORMATION PROCESSING DEVICE, MEDICAL INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
A medical information processing device according to an embodiment includes a processor. The processor acquires adverse event information that indicates an adverse event occurred in a patient. The processor extracts administration information that indicates a drug administered to the patient. From the administration information, the processor identifies a related drug related to the occurrence of the adverse event. The processor identifies related image information on the related drug, if there is a related drug. The processor displays output information that includes the adverse event information, the administration information, drug information on the drug, and the related image information.
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 20/10 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p. ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des médicaments ou des médications, p. ex. pour s’assurer de l’administration correcte aux patients
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
96.
MEDICAL IMAGE PROCESSING APPARATUS, MEDICAL IMAGE PROCESSING METHOD, AND COMPUTER-READABLE NONVOLATILE STORAGE MEDIUM THAT STORES MEDICAL IMAGE PROCESSING PROGRAM
A medical image processing apparatus according to an embodiment includes processing circuitry and a display. The processing circuitry acquires a 1st medical image collected by predetermined imaging for an imaging part of a subject, and a 2nd medical image that is collected by imaging different from the predetermined imaging and includes a blood vessel related to the imaging part, detects a disease candidate region indicating a candidate for a region of a disease at the imaging part based on the 1st medical image, detects a constriction part related to constriction of the blood vessel based on the 2nd medical image, and estimates certainty of the disease for the disease candidate region based on the disease candidate region and the constriction part. The display displays the region of the disease related to the certainty and the 2nd medical image that are superimposed on the 1st medical image.
A resin composition according to an embodiment is a resin composition being a precursor of an acoustic matching layer for an ultrasound transducer element included in an ultrasound transducer element unit having an array transducer element including a piezoelectric body and an electrode. The resin composition includes resin and inorganic material particles, while satisfying 2.3≤Z/√ρ≤3.4 where Z denotes an acoustic impedance of the acoustic matching layer, whereas ρ denotes the density of the inorganic material particles.
B06B 1/06 - Procédés ou appareils pour produire des vibrations mécaniques de fréquence infrasonore, sonore ou ultrasonore utilisant l'énergie électrique fonctionnant par effet piézo-électrique ou par électrostriction
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to acquire imaging conditions including a tube voltage of an X-ray tube used at the time of capturing a past CT image of a subject, determine a range of energy bins to be used to generate a photon counting CT image corresponding to the past CT image among a plurality of energy bins set for counting X-ray photons detected by new imaging of the subject using a photon counting CT apparatus for each energy band based on the acquired imaging conditions, and generate the photon counting CT image using count values of X-ray photons in the determined range of energy bins.
An information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to generate at least a part of a first inference model that, upon receipt of an input of at least one two-dimensional image included in a three-dimensional image, outputs a first inference result corresponding to the two-dimensional image and a second inference model that, upon receipt of an input of two or more of the first inference results, outputs a second inference result corresponding to the three-dimensional image.
G06N 5/04 - Modèles d’inférence ou de raisonnement
G06N 3/043 - Architecture, p. ex. topologie d'interconnexion fondée sur la logique floue, l’appartenance floue ou l’inférence floue, p. ex. systèmes d’inférence neuro-floue adaptatifs [ANFIS]
G06N 20/20 - Techniques d’ensemble en apprentissage automatique
G06N 7/00 - Agencements informatiques fondés sur des modèles mathématiques spécifiques
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
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 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p. ex. DICOM, HL7 ou PACS
An ultrasound diagnostic device according to the present disclosure includes processing circuitry configured to acquire reflection ultrasound data from a mobile object; extract velocity information of the mobile object by applying a first filter to the reflection ultrasound data; determine a probability that the mobile object is a blood flow based on the reflection ultrasound data and output probability information; and generate a blood flow image based on the extracted velocity information of the mobile object and the outputted probability information.
