Abstract: Certain embodiments provide a medical image processing apparatus comprising processing circuitry configured to: receive a thermography image, or a pair of medical images from which a thermography image is obtainable; estimate a temperature field corresponding to the thermography image or pair of medical images; and generate a corrected thermography image based on the thermography image or pair of medical images and on the estimated temperature field.

Abstract: According to one embodiment, a medical information processing apparatus includes processing circuitry. The processing circuitry is configured to acquire a medical image. The processing circuitry is configured to narrow down a plurality of anatomical landmarks each indicating an anatomical position in the medical image to one or more anatomical landmarks to be displayed. The processing circuitry is configured to cause a display to display the medical image on which the one or more narrowed-down anatomical landmarks are superimposed.

Abstract: An ultrasound diagnostic apparatus repeats ultrasonic wave transmissions with different transmission angles in units of packets. The apparatus receives reception signals. The apparatus performs beamforming on the reception signals. The apparatus performs MTI filtering on initial images for each group of the same transmission angle. The apparatus performs principal component analysis on the MTI images for each of the packets having the same set of transmission angles. The apparatus performs coherent addition on the principal component images for each of the packets to generate coherent addition images.

Abstract: An image reconstruction method of an embodiment is to perform PET image reconstruction based on an objective function that solves a combinatorial optimization problem. The image reconstruction method of the embodiment includes a step of obtaining detection data and a step of performing PET image reconstruction by solving a combinatorial optimization problem based on the objective function into which the detection data is incorporated.

Abstract: A method for a printer including a transport device including an endless transport belt supported on a pair of support rollers, which between them define a medium support plane, over which medium support plane a print station is provided. The method includes transporting in parallel a plurality of individual print media perpendicular to a scanning direction of the print station on the medium support plane, the print media having different dimensions; determining positions of the individual print media based on the determined positions; and jetting marking material for forming a designated image specific for each print medium on each respective print medium. The above steps are repeated such that print media are printed in a plurality of parallel lanes on the medium support plane perpendicular to the scanning direction.

Abstract: An ultrasonic probe of embodiments includes a head part, an acoustic emission part, and a radiation part. The head part has a puncture guide configured to guide a puncture needle. The acoustic emission part is provided in the head part and configured to emit ultrasonic waves. The radiation part is configured to radiate laser beams in a first direction and a second direction different from the first direction. The first direction is opposite to a direction in which the acoustic emission part emits the ultrasonic waves.

Abstract: A medical information processing apparatus acquires multiple training samples. Each of the training samples includes a feature amount representing a condition of a subject, a type label of an event performed on the subject, and an effect label of the event. The apparatus acquires a knowledge base independent from the training samples. The processing circuitry assigns a knowledge label to at least one training sample among the training samples based on the knowledge base. The apparatus trains, based at least on the at least one training sample to which the knowledge label is assigned, a model that infers an effect of each type of an event. The at least one training sample to which the knowledge label is assigned includes the feature amount, the type label, the effect label, and the knowledge label.

Abstract: An inkjet printing device for printing to a recording medium includes a printing unit that has a plurality of print bars that respectively have one or more print heads. The printing device also includes a transfer printing sled to guide the recording medium, which can be moved into and out of a space below the printing unit. In a print operation state, the transfer printing sled is arranged in the space and guides the recording medium during printing. In a maintenance operation state, the transfer printing sled is moved out of the space. The printing device also includes at least one cleaning element for cleaning at least one print head of the printing module. In the transport direction of the recording medium, the at least one cleaning element is arranged laterally next to the space in the print operation state and in this space in the maintenance operation state.

Abstract: A medical information processing apparatus includes processing circuitry configured to acquire status information indicating a status of a plurality of medical devices connected to each other via a network and/or a status around the plurality of medical devices, generate, based on the status information, operation information indicating an operation to be performed on the medical device, and control a display unit so as to display the generated operation information.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry that is configured to acquire medical image data that includes a target organ, acquire grid point cloud data that is associated with the medical image data and that is related to the target organ, display the medical image data, and that identify an attention grid included in the grid point cloud data on the basis of a display condition of the medical image data.

Abstract: A medical image processing apparatus according to one embodiment includes processing circuitry. The processing circuitry acquires second image data in which a low count artifact is reduced, by applying a trained machine learning model to first image data that is obtained by X-ray CT scan. The processing circuitry outputs image data based on the second image data. The machine learning model is trained by using training data that includes third image data and fourth image data, where the third image data is reconstructed based on projection data that is obtained by X-ray CT scan and the fourth image data is based on the projection data and includes a generated low count artifact.

Abstract: A method for a printer including a transport device including an endless transport belt, supported on a pair of support rollers which between them define a medium support plane, over which medium support plane a print station is provided. The method includes transporting in parallel a plurality of individual print media perpendicular to a scanning direction of the print station on the medium support plane, the print media having different dimensions, determining positions of the individual print media and based on the determined positions, jetting marking material for forming a designated image specific for each print medium on each respective print medium. The above steps are repeated such that print media are printed in a plurality of parallel lanes on the medium support plane perpendicular to the scanning direction.

Abstract: An X-ray diagnosis apparatus according to an embodiment includes: an X-ray generator configured to emit X-rays; an X-ray detector having a detection surface parallel to a first direction and being movable in the first direction and in a second direction orthogonal to the first direction and parallel to the detection surface; and processing circuitry configured to set a plurality of imaging ranges touching each other on the basis of reference information, to cause the X-rays to be emitted from the X-ray generator to each of the plurality of imaging ranges while sequentially moving the X-ray detector, and to generate X-ray images respectively corresponding to the plurality of imaging ranges, on the basis of a detection signal resulting from the X-ray detector detecting the X-rays.

Abstract: A diagnosis support system includes an acquirer, a calculator, and a display controller. The acquirer acquires diagnosis data. The calculator calculates, based on the medical data, a feature amount in the medical data for a predetermined period. The display controller causes the displayer to display the medical data in a format according to the feature amount.

Abstract: A medical information processing apparatus includes processing circuitry. The processing circuitry is configured to: acquire operator information that identifies an operator of an operation apparatus; acquire apparatus information that indicates a medical apparatus operable by the operator based on the acquired operator information; and provide the operation apparatus with the acquired apparatus information.

Abstract: A superconducting coil device of an embodiment includes stacked pancake coils. Each of the stacked pancake coils includes an inner frame, a separator disposed outside the inner frame, and a superconducting wire wound part formed on the separator. The superconducting coil device further includes a position adjustment part configured to adjust relative positions of the stacked pancake coils.

Abstract: An apparatus for reconstructing or filtering medical image data is provided. The apparatus includes processing circuitry to receive a first medical image data and meta-parameters related to the first medical image data; apply the received meta-parameters to inputs of a first trained machine-learning (ML) network, e.g., a multilayer perceptron, to obtain, from outputs of the first trained ML network, tuning parameters of a second ML network (e.g., a convolutional neural network) different from the first ML network; apply the received first medical image data to inputs of the second ML network, as tuned by the obtained tuning parameters output from the first ML network, to obtain, from outputs of the second ML network, second medical image data; and output the second medical image data. In one embodiment, the first medical image data is magnetic-resonance k-space data and the second medical data is a magnetic-resonance image.

Abstract: A medical information processing system comprises: a data store storing a medical ontology, knowledge graph or other knowledge base; and processing circuitry configured to: receive medical image data; receive an input regarding position on the medical image data; specify a concept in the medical ontology, knowledge graph or other knowledge base which includes or is related to the position; and specify text data including a term included in or related to the specified concept.

Abstract: An ultrasound reception apparatus according to one embodiment includes signal processing circuitry. The signal processing circuitry is configured to: acquire first reflected wave data for each channel, the first reflected wave data being generated by chronologically transmitting and receiving ultrasound waves in different transmission directions; perform phasing processing corresponding to a transmission path for each channel with respect to each piece of the first reflected wave data, and generates second reflected wave data; perform addition processing with respect to a plurality of transmission directions for each channel by using the second reflected wave data, and generates third reflected wave data subjected to transmit aperture synthesis; and perform adaptive reception beamforming on the third reflected wave data.

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 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 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 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 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: 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: 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: 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: 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: 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: According to one embodiment, a medical information processing apparatus comprising processing circuitry. The processing circuitry acquires an input signal relating to at least one of a treatment and an examination for a subject. The processing circuitry specifies, based on the input signal, a treatment or examination that was executed, and a treatment or examination that is to be next executed. The processing circuitry displays a remaining time relating to the treatment or examination to be next executed, and a kind of the executed treatment or examination.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry configured to acquire geometric data indicating a position of a region of interest set on a first blood vessel image, specify a corresponding region in a second blood vessel image that corresponds to the region of interest on the basis of the geometric data, and acquire information on the corresponding region.

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: 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.

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: An X-ray computed tomography imaging apparatus according to one embodiment includes processing circuitry. The processing circuitry obtains reconstructed image data corresponding to a second energy range including an energy range different from a first energy range. The processing circuitry infers motion-quantity information as to a region of interest included in the reconstructed image data, based on the reconstructed image data. The processing circuitry then corrects a quantity of motion of the region of interest included in reconstructed image data containing data corresponding to at least the first energy range, based on the motion-quantity information.

Abstract: A reagent storing system according to an embodiment includes: a reagent storage including a rotating table on which a reagent container is placed, a casing formed to be able to house the rotating table therein, a cover configured to cover an opening of the casing, a cooling unit, a fan configured to circulate air in the casing so that the inside of the casing is cooled by the cooling unit, and a partition part configured to partition a space formed by the cover and the casing into a space in which an opening part of the reagent container is present and a space in which a main body of the reagent container is present; and a preventing member configured, while being placed in a location where the reagent container is not placed, to prevent the air from flowing in to the opening part of the reagent container through the location.

Abstract: A PET apparatus according to one embodiment includes processing circuitry. The processing circuitry acquires list mode data. The processing circuitry reconstructs a PET image based on the list mode data. The processing circuitry identifies first coincidence data that is obtained by coincidence counting by a first detector and a second detector that is different from the first detector from among a plurality of pieces of coincidence data included in the list mode data. The processing circuitry estimates a time lag amount between the first detector and the second detector based on TOF information included in the first coincidence data and the PET image.

Abstract: A nuclear medicine diagnostic device according to an embodiment includes processing circuitry. The processing circuitry obtains first photon-number information detected by a first detector; calculates, based on the first photon-number information, a first light emission probability model corresponding to the first detector; identifies, based on the first light emission probability model, a first timing at which the detection probability becomes equal to or greater than a predetermined threshold value; measures the detection timing of an event detected by the first detector; and corrects the detection timing based on the first timing.

Abstract: A high-frequency amplifier apparatus according to an embodiment amplifies high-frequency signals; and includes a balun, amplification circuitry, and matching circuitry. The balun transforms unbalanced signals, which are input, into balanced signals. The amplification circuitry amplifies the balanced signals output from the balun. The matching circuitry is disposed in between the balun and the amplification circuitry, and performs impedance matching. The balun includes an auxiliary winding that is connected to a port of the balun.

Abstract: A nuclear medicine diagnosis apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured: to obtain first photon number information detected by a first detector and second photon number information detected by a second detector different from the first detector; to calculate a first light emission probability model corresponding to the first detector on the basis of the first photon number information and a second light emission probability model corresponding to the second detector on the basis of the second photon number information; and to specify a probability distribution model related to a detection time difference along a Line Of Response (LOR) defined by the first detector and the second detector, on the basis of the first light emission probability model and the second light emission probability model.

Abstract: In one embodiment, a contact-surface determination apparatus includes processing circuitry. This processing circuitry acquires an image depicting a contact surface of a ultrasonic probe, and determines a state of the contact surface of the ultrasonic probe on the basis of the acquired image.

Abstract: According to one embodiment, an ultrasonic diagnostic apparatus includes processing circuitry. The processing circuitry sets a scan order such that among multiple ensemble groups each including multiple ultrasonic transmission-reception operations performed on a same scan line in each of partial scan regions of a scan region, a distance between temporally adjacent ultrasonic transmission-reception operations of different ensemble groups is not less than a first threshold, and a time difference between ultrasonic transmission-reception operations of the different ensemble groups with respect to spatially adjacent scan lines is not less than a second threshold. The processing circuitry causes ultrasonic waves to be transmitted and received according to the scan order.

Abstract: A data generation apparatus according to one embodiment includes processing circuitry. The processing circuitry receives a relative value of molecules in a first region as input data. The processing circuitry applies, to the input data, a function having predetermined coefficients to be learned. The processing circuitry computes a relative value of the molecules in a second region to be output data from the function. The processing circuitry outputs the output data.

Abstract: A data processing apparatus comprises: a memory configured to store a trained model; and processing circuitry configured to: receive at least one dataset that comprises d variables and n samples; determine variances associated with the variables by processing the dataset using the model; determine an order of the variables based on the determined variances, including iteratively removing at least one node or variable represented by said at least one node thereby to determine the order.

Abstract: In a method for printing a digital image in swaths with a swath time corresponding to the width of the digital image on the image receiving medium in the main scanning direction, the print controller issues a trigger that a spitting action for at least part of the printing elements of the print head needs to be performed. A swath time of subsequent swaths is gradually increased until the print head reaches a maintenance tray at a side of the print surface. The print head stays at the maintenance tray until air between the print head and the maintenance tray has approximately reached a standstill. Then, at least part of the printing elements of the print head are spitting marking material in the maintenance tray. After the spitting, the swath time of subsequent swaths is gradually decreased until the swath time is corresponding again with the width of the digital image on the image receiving medium in the main scanning direction. A digital inkjet printer is configured to perform the method.

Abstract: An X-ray CT apparatus according to an embodiment includes a photon counting detector that outputs a signal that enables measurement of an energy value of an X-ray photon incident thereon, and processing circuitry configured to determine a time to make a transition from a prescan to a main scan by estimating, from projection data, an amount of a contrast agent present on an X-ray path including a monitored region set for a subject in the prescan, the projection data having been generated by detection of X-rays by the photon counting detector, the X-rays having been transmitted through the monitored region.

Abstract: A medical image processing device includes processing circuitry. The processing circuitry sets a first energy bin at a k-absorption edge of a specific substance and sets a second energy bin and a third energy bin on both sides of the first energy bin. The processing circuitry generates a first medical image and a second medical image in which the specific substance is more emphasized using data of the energy bins. The processing circuitry outputs the medical images via an output interface. The processing circuitry sets a weighting for the data in the first energy bin when the second medical image is generated to be less than a weighting for the data in the second energy bin when the second medical image is generated and to be less than a weighting for the data in the first energy bin when the first medical image is generated.

Abstract: An X-ray Computed Tomography (CT) apparatus according to an embodiment includes storage circuitry and processing circuitry. The storage circuitry is configured to store therein a table keeping first information about an energy spectrum of X-rays in correspondence with second information about a focal point position of an X-ray tube. The processing circuitry is configured to obtain third information about an energy spectrum of X-rays emitted from the X-ray tube. The processing circuitry is configured to specify a corrected focal point position on the basis of the third information and the table.