Abstract: A medical image processing apparatus according to the present embodiment includes processing circuitry. The processing circuitry inputs a first magnetic resonance image reconstructed with super-resolution processing on magnetic resonance data and a second magnetic resonance image obtained by imaging the same object as that of the first magnetic resonance image and with artifacts suppressed compared with the first magnetic resonance image, to a leaned model, the learned model being configured to output a third magnetic resonance image having the same resolution as that of the first magnetic resonance image and with the artifacts suppressed, generates the third magnetic resonance image based on the first magnetic resonance image and the second magnetic resonance image, using the learned model.

Abstract: A medical learning apparatus acquires a data set consisting of a plurality of events, the data set including first data that includes first action data relating to an expert. The medical learning apparatus trains, based on the first data, a causal structure model for inferring a causal relationship relating to the plurality of events.

Abstract: A medical information processing apparatus is a medical information processing apparatus that stores medical information of a patient and includes a processing circuitry and a memory. The processing circuitry performs voice recognition processing on a voice of a user, inputs the medical information based on a result of the voice recognition processing, acquires a mental state of the user by analyzing the voice of the user, and stores an analysis result of a mental state analysis section in the memory.

Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. Based on files pertaining to medical information that users intend to browse or operate and folders that store the files therein, which are managed by each user, the processing circuitry assigns a label representing an attribute to each of the folders. Based on the files stored in the folders with the same or similar label, the processing circuitry sets a condition pertaining to presentation of the file.

Abstract: According to an embodiment, a medical information processing device includes processing circuitry. The processing circuitry acquires text data of a processing target and outputs specific information for identifying one item of medical information satisfying a specific condition regarding a diagnosis target based on a medical term included in the text data and a medical ontology in which a relationship between two or more items of the medical information is defined.

Abstract: A medical imaging system comprising: a data storage resource configured to store probability data representing probability information for a location of a feature of interest in an anatomical region; processing circuitry configured to: receive medical image data representing a medical image of at least an anatomical region; retrieve the probability data from the data storage resource; process the medical image data to perform at least one image augmentation operation on the received medical image for at least one feature of interest based on the probability information for the location of the at least one feature of interest in the anatomical region.

Abstract: An automatic analyzing apparatus according to an embodiment of the present disclosure includes a reagent storage, a reaction vessel, a placement part, and a wiring fixing part. On the placement part, at least one of the reagent storage and the reaction vessel is placed. The wiring fixing part is attached to the bottom face side of the placement part, while a wiring connected to at least one of the reagent storage and the reaction vessel is fixed to the bottom face side of the wiring fixing part. It is possible to pull out the wiring fixing part.

Abstract: According to one embodiment, an automatic analyzing apparatus includes: a holder including a plurality of placement portions for a reaction tube to be placed thereon; a photometry unit for performing photometry on a solution inside the reaction tube, the photometry unit including a plurality of light emitters and a plurality of first light receivers respectively disposed in the plurality of placement portions; and processing circuitry configured to adjust quantities of light of the plurality of light emitters based on a light quantity signal from a second light receiver that receives light generated by the light emitters and guided by jig inserted into the placement portions.

Abstract: An ultrasonic diagnostic apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured to display, as a live image, an image that data output from an ultrasonic probe represents; recognize an image type of the live image; extract, out of past data collected before the live image, data at least a part of which is in common to the image type of the live image; and display an image that the extracted data represents on the same screen as that of the live image.

Abstract: A medical diagnosis support device of an embodiment includes processing circuitry. The processing circuitry acquires first reference data based on first clinical data relating to a diagnosis result of an evaluation target and second reference data based on second clinical data relating to a comparison target diagnosis result for the evaluation target and performs an analysis process relating to the diagnosis result of the evaluation target based on the first reference data and the second reference data. The first reference data includes first data that has been referred to by a first user to obtain the diagnosis result of the evaluation target and second data that has been referred to by a diagnosis support system to obtain the diagnosis result of the evaluation target. The second reference data includes the first data that has been referred to by at least one of the first user and a second user different from the first user in order to obtain the diagnosis result of the comparison target.

Abstract: An X-ray CT apparatus according to an embodiment includes a photon-counting X-ray detector including a plurality of pixels and processing circuitry configured to acquire first data in a resolution priority mode from a first pixel set out of the pixels, acquire second data in an energy decomposition mode from a second pixel set, which is different from the first pixel set, out of the pixels at sampling intervals longer than those of the resolution priority mode, and generate third data based on the first data and the second data.

Abstract: According to one embodiment, a medical information processing apparatus includes processing circuitry configured to derive an index value with respect to noise included in data associated with magnetic resonance signals collected by each of a plurality of reception coils, adjust a degree to which noise is removed from the data associated with the magnetic resonance signals based on the derived index value, remove noise from the data associated with the magnetic resonance signals based on the adjusted degree, and perform compositing of the data associated with the magnetic resonance signals from which noise has been removed.

Abstract: An apparatus according to an embodiment includes a processing circuit. The processing circuit is configured to obtain first Doppler waveform data related to a left ventricular blood inflow. The processing circuit is configured to detect positions of an E-wave and an A-wave in the first Doppler waveform data, by using the first Doppler waveform data and a trained model trained with training data that includes at least positions of an E-wave and an A-wave in each of a plurality of pieces of second Doppler waveform data related to left ventricular blood inflows and the plurality of pieces of second Doppler waveform data.

Abstract: A medical image processing apparatus including processing circuitry configured to: obtain from medical imaging measurements, observations of one or more vector or tensor valued fields as projected from one or more 2D acquisition planes; use an optimisation procedure to determine from the observations a superset of 3D fields (which may be scalar, vector, or tensor) via a solution ansatz constrained by a system of partial differential equations, and output the plurality of these fields.

Abstract: A PET scanner includes gamma-ray detector rings that form a bore through which an imaging subject is translated, a length of the bore defining an axial length of the PET scanner, the gamma-ray detector rings being movable along the axial length, the gamma-ray detector rings including gamma-ray detector modules therein, and processing circuitry configured to receive PET data associated with a plurality of transaxial slices of the imaging subject, the PET data including a first set of spatial information and timing information corresponding to a first data acquisition period for the gamma-ray detector modules in a first axial position and a second set of spatial information and timing information corresponding to a second data acquisition period for the gamma-ray detector modules in a second axial position, and reconstruct a PET image based on the first set of spatial and timing information and the second set of spatial and timing information.

Abstract: According to an embodiment, a medical image processing device includes processing circuitry. The processing circuitry acquires an angiographic image of a subject. The processing circuitry detects branch points of blood vessels of the subject on the basis of the angiographic image. The processing circuitry generates a blood vessel diagram, which is a diagram showing a blood vessel distribution, on the basis of the branch points.

Abstract: According to an embodiment, a medical image processing device includes processing circuitry. The processing circuitry acquires a medical image obtained by imaging at least an artery. The processing circuitry detects a branch point of the artery on the basis of the medical image. The processing circuitry identifies a dominated region affected by the artery on a downstream side of the branch point in the medical image. The processing circuitry causes a display to display the dominated region.

Abstract: In one embodiment, an image processing system includes a memory and processing circuitry. The memory is configured to store a predetermined program. The processing circuitry is configured, by executing the predetermined program, to perform processing on an input image by exploiting a neural network having an input layer, an output layer, and an intermediate layer provided between the input layer and the output layer, the input image being inputted to the input layer, and adjust an internal parameter based on data related to the input image, while performing the processing on the input image after training of the neural network, the internal parameter being at least one internal parameter of at least one node included in the intermediate layer, and the input parameter having been calculated by the training of the neural network.

Abstract: According to one embodiment, an ultrasonic diagnostic apparatus includes an ultrasonic probe and processing circuitry. The processing circuitry causes the ultrasonic probe to perform a first scan and second scan in a same scan sequence, wherein the first scan is for calculating a first index value based on a displacement of tissue by a shear wave that propagates through a living body, the second scan for calculating a second index value indicating an attenuation of a reflected wave signal of an ultrasonic wave applied into the living body. The processing circuitry generates a first image based on the first index value, and generates a second image based on the second index value. The processing circuitry causes a display to simultaneously display the first image and the second image.

Abstract: A positron emission tomography (PET) scanner is provided having a plurality of detector subsystems, including processing circuitry to determine, for each detector subsystem of the plurality of detector subsystems, a singles count loss correction factor of the detector subsystem; determine, for each detector subsystem pair of a plurality of pairs of the detector subsystems, a coincidence count loss correction factor for the detector subsystem pair; calculate a scanner coincidence count loss correction factor for the PET scanner based on the coincidence count loss correction factors determined for the plurality of pairs of the detector subsystems; and reconstruct an image based on the calculated scanner count loss correction factor and scan data acquired from a scan of a patient performed using the PET scanner.