Abstract: The present disclosure relates to dividing image data obtained from a scan (e.g. MRI) of an object into two or more sets of data corresponding do unique motion patterns and/or motion sources. Each of the two or more sets of data can be corrected using an appropriate correction technique. One appropriate correction techniques includes generating kernels for each divided imaging dataset using center and adjacent slice information to correct for through-plane and in-plane artifacts.

Abstract: A radiation detection device according to an embodiment includes a scintillator and a processing circuit. The processing circuit measures transferred energy when scintillation is caused after a gamma ray incident on a scintillator generates Cherenkov light and estimates a Cherenkov angle based on the transferred energy.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains X-ray images that are sequentially collected during a partial period of time in a cardiac phase of a subject who has a device inserted into the body. Then, the processing circuitry identifies a characteristic region of the device captured in a plurality of obtained X-ray images, and performs registration in which the position of the characteristic region identified in a reference image, which is one of the plurality of X-ray images, serves as the reference position, and in which the position of the characteristic region identified in the plurality of X-ray images collected after the reference image is adjusted based on the reference position.

Abstract: A vendor search assistance apparatus according to an embodiment includes: a memory that stores vendor information on each of plural vendors that have been registered; and processing circuitry configured to identify, on the basis of specification information of a proposition that has been advertised and the vendor information, recommended specification information that is recommended for the proposition, and notify a procurer that has advertised the proposition, of the recommended specification information.

Abstract: An automatic analyzing apparatus comprises a reaction disk on which a reaction tube is placed, a reaction tube transportation mechanism that transports the reaction tube, a controller that controls the reaction tube transportation mechanism to transport the reaction tube to at least one of a sample dispensing position and a reagent dispensing position, the sample dispensing position being a position where a sample is dispensed and the reagent dispensing position being a position where a reagent is dispensed, and transport to the reaction disk the reaction tube for which at least one of the sample and the reagent is dispensed.

Abstract: A medical information processing apparatus includes processing circuitry. The processing circuitry obtains a plurality of execution results respectively corresponding to a plurality of analysis processes. The execution results are obtained by performing the plurality of analysis processes relating to at least one type of analysis application on a plurality of series of medical images. The processing circuitry displays a first display area for displaying the plurality of execution results which are summarized by a type of analysis application, and a second display area for displaying input images provided to the plurality of analysis processes. The input images are identifiably displayed for each type of analysis application.

Abstract: A structure according to an embodiment is disposed between an X-ray emitter and a subject, and includes a scatterer configured to scatter X-rays emitted from the X-ray emitter, and a transmitter configured to transmit X-rays at a predetermined angle, among the X-rays scattered by the scatterer.

Abstract: According to one embodiment, an X-ray diagnostic apparatus includes processing circuitry. The processing circuitry is configured to acquire a two-dimensional first X-ray image based on X-ray imaging using a first continuous X-ray spectrum, and acquire a two-dimensional second X-ray image based on X-ray imaging using a second continuous X-ray spectrum different from the first continuous X-ray spectrum. Further, the processing circuitry is configured to generate a two-dimensional virtual third X-ray image that simulates an X-ray image using a third continuous X-ray spectrum different from the first continuous X-ray spectrum and the second continuous X-ray spectrum, based on the first X-ray image and the second X-ray image.

Abstract: According to one embodiment, a medical data processing apparatus includes processing circuitry. The processing circuitry acquires imaging data acquired by executing spoiled gradient echo imaging and coherent gradient echo imaging by using multiple flip angles. The processing circuitry generates a low-rank approximate image set, which is a set of low-rank approximated images from the imaging data. The processing circuitry reconstructs one or more parameter maps using the above low-rank approximate image set and a related to water exchange in a biological tissue, the multi-pool model including plural free waters and bound water that performs magnetization exchange with those free waters.

Abstract: To ensure reliable and productive processing of printed sheets into stacks, a sheet stacker includes: a flipping device for flipping a sheet with respect to the sheet's orientation before being received by the flipping device onto a stack support or a stack of sheets on the stack support; a sensor assembly for detecting an out-of-plane deformation of a top sheet with respect to the underlying stack support or a stack of sheets on the stack support at least for each sheet added to the stack; and a controller configured to determine from data from the sensor assembly whether the top sheet was successfully flipped and stacked.

Abstract: An X-ray diagnostic apparatus according to an embodiment includes an arm, a first holder, a second holder, a driver, and a third holder. The arm has the shape of a circular arc; supports an X-ray tube and an X-ray detector. The first holder grasps the arm in a movable manner in the circular arc direction. The second holder supports the first holder in a movable manner in the circular arc direction. The driver is disposed in the second holder; moves the first holder; and, at the same time, relatively moves the arm with respect to the first holder. The third holder is orthogonal to the rotation axis involved in the movement of the arm in the circular arc direction and holds the second holder in a rotatable manner with the axis substantially orthogonal to the vertical direction serving as the rotation axis.

Abstract: A monitoring assistance device of an embodiment includes processing circuitry. The processing circuitry is configured to acquire an execution status of at least one of an operation related to use of an apparatus that acquires biometric information of a managed person or an operation other than the operation related to use, determine, on the basis of the execution status of the managed person and a workflow defining an operation timing of the apparatus, whether or not the operation has been executed at the operation timing, and control a notification device that outputs a notification including information on the operation of the apparatus on the basis of whether or not the operation has been executed.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires medical image data to be processed, specifies a target area to be subjected to a super-resolution process for improving image quality from the medical image data on the basis of the medical image data, and outputs information on the specified target area.

Abstract: An X-ray diagnosis apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to determine a region corresponding to a target object in an X-ray image, on the basis of the X-ray image; to calculate a statistical value related to the region, on the basis of a plurality of pixel values included in the region; and to set an X-ray condition related to generating X-rays, on the basis of the statistical value.

Abstract: A diagnosis support apparatus according to the present embodiment includes at least a collation unit and an estimation unit. The collation unit collates information on an accumulation site of a diagnostic agent obtained from a captured nuclear medicine image of a subject with information on a site derived from an exosome containing the diagnostic agent collected from the subject. As a result of the collation, the estimation unit estimates that a tumor is present at a site of the first site information which is matched with the second site information.

Abstract: A magnetic resonance imaging apparatus includes sequence controlling circuitry and processing circuitry. The sequence controlling circuitry executes (i) a first pulse sequence in which a spatially selective Inversion recovery (IR) pulse and a spatially non-selective IR pulse are applied, and (ii) a second pulse sequence in which the spatially non-selective IR pulse is applied without applying the spatially selective IR pulse, while varying the first TI period, with respect to a plurality of first TI periods. The sequence controlling circuitry executes (iii) the third pulse sequence in which the spatially selective IR pulse and the spatially non- selective IR pulse are applied, and (iv) the fourth pulse sequence in which the spatially non-selective IR pulse is applied without applying the spatially selective IR pulse. The processing circuitry generates a magnetic resonance image of an imaged region based on data obtained from the third pulse sequence and the fourth pulse sequence.

Abstract: A direct-conversion X-ray detector according to an embodiment includes a plurality of anode electrodes, at least one cathode electrode, and electric-field forming circuitry. The anode electrodes are aligned in a cone angle direction of an incident X-ray. The cathode electrode is positioned on an incident side of an X-ray relative to the anode electrodes, and that opposes the anode electrodes. The electric-field forming circuitry configured to form an electric field in a direction based on a cone angle of the X-ray, between the anode electrodes and the cathode electrode.

Abstract: The medical image display apparatus according to any of embodiments includes processing circuitry. The processing circuitry is configured to determine whether a mouse cursor is superimposed on a display range of interpretation-target medical image data in a display screen of a display or not. Further, the processing circuitry is configured to display, when the mouse cursor is determined to be superimposed on the display range, at least one choice of comparative medical image data corresponding to interpretation-target medical image data specified by the position of a mouse cursor in an interpretation adjacent region where the specified interpretation-target medical image data is not superimposed and is adjacent to the specified interpretation-target medical image data.

Abstract: According to one embodiment, a pseudo-data generation apparatus includes processing circuitry. The processing circuitry acquires one or more pieces of partial observation data that form part of whole observation data. The processing circuitry generates pseudo-whole observation data by inputting the one or more pieces of partial observation data to a function, the pseudo-whole observation data being pseudo-data of the whole observation data. The function is optimized by training so that partial observation data for training and pseudo-partial observation data for training resemble each other, the pseudo-partial observation data for training being obtained by converting the pseudo-whole observation data for training.

Abstract: An analysis apparatus includes processing circuitry configured to obtain quantitative values of a plurality of types of tissue properties relating to a region of interest of a subject, and generate a diagram of the region of interest based on the quantitative values.

Abstract: According to one embodiment, an automatic analyzing apparatus includes a feeder and a mixer unit. The feeder is configured to feed a first liquid and a second liquid. The mixer unit includes an inflow part, an internal space, and an outflow part. The mixer unit is configured so that the first liquid and the second liquid fed from the feeder enter through the inflow part, the first liquid and the second liquid entering through the inflow part flow inside the internal space, and the first liquid and the second liquid flowing inside the internal space exit through the outflow part according to an inflow entering through the inflow part.

Abstract: An information processing apparatus according includes processing circuitry. The processing circuitry adds a correct answer label used for training a decision making model, which is used for decision making in a medical care field, in accordance with an operator’s input instruction. The processing circuitry collects status data indicating an operator’s status while doing the work of adding a correct answer label. The processing circuitry trains a reliability level determination model which accepts status data and outputs a reliability level of a correct answer label. The processing circuitry obtains input data of a decision making model. The processing circuitry trains a decision making model which accepts input data and outputs output data indicating a result of decision making.

Abstract: An image processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry acquires pixel values of at least three different types of magnetic resonance (MR) images. The processing circuitry causes a display to display a diagram in which values based on the pixel values are arranged in a region with at least three-dimensional axes.

Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry acquires operation information of a medical worker for medical treatment information of a target patient or operation information of a medical worker for medical treatment information of a similar patient who is similar to the target patient. Based on the operation information, the processing circuitry calculates the concordance rate between a period for which the medical treatment information of the target patient or the medical treatment information of the similar patient is referred to and the period for which the medical treatment information of the target patient is displayed. The processing circuitry performs display of information about the concordance rate.

Abstract: A medical image processing device according to an embodiment includes a processing circuit. The processing circuit is configured: to obtain an electron density function of an examined subject and information about a nuclide administered for the examined subject; to calculate a positron range kernel related to the examined subject, on the basis of the electron density function and the nuclide; and to reconstruct a Positron Emission Tomography (PET) image of the examined subject, on the basis of the positron range kernel.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry configured to acquire a radiographic image of a subject and acquire a post-processing image with reduced steak artifacts by applying a model that reduces streak artifacts to the radiographic image, wherein the model is generated by machine learning that uses, as a training data pair, a first radiographic image and a second radiographic image based on artifact generation processing for generating streak artifacts.

Abstract: A medical image processing apparatus comprises processing circuitry configured to: receive volume data; set a symmetry plane for the volume data; generate mirrored volume data by mirroring the volume data using the symmetry plane; and generate symmetrized volume data based on the volume data and the mirrored volume data.

Abstract: A medical image imaging system according to an embodiment includes a processing circuitry. The processing circuitry determines a progress in a workflow related to imaging of a subject by a medical image imaging apparatus. The processing circuitry assigns an operation authority for the medical image imaging apparatus to one user terminal among a plurality of user terminals in accordance with the determined progress.

Abstract: According to one embodiment, an inference apparatus includes a processing circuit configured to: obtain processing target data; and calculate inference data by applying a trained neural network to the processing target data, wherein the trained neural network includes an ensemble activation function for each of a plurality of unit network structures configured to convert an input vector element to an output vector element, the ensemble activation function being configured to execute a calculation based on a plurality of activation functions and a plurality of mixing coefficients respectively corresponding to the activation functions.

Abstract: A radiation detector includes control lines extending in a first direction, data lines extending in a second direction orthogonal to the first direction, photoelectric conversion parts respectively in regions defined by the control and data lines, noise detecting parts arranged outside a region where the photoelectric conversion parts are located, and a scintillator located on the region where the photoelectric conversion parts are located. Each photoelectric conversion part includes a first thin film transistor electrically connected to corresponding control and data lines, and a photoelectric conversion element including an electrode electrically connected with the first thin film transistor. Each noise detecting part includes a second thin film transistor electrically connected to corresponding control and data lines, and a capacitance part electrically connected with the second thin film transistor.

Abstract: A medical image processing apparatus comprises processing circuitry configured to: receive first volume data and second volume data; set a first symmetry plane for the first volume data and a second symmetry plane for the second volume data; and conduct a registration of the first volume data and the second volume data based on the first symmetry plane and the second symmetry plane.

Abstract: The present disclosure is directed to an apparatus and method for data analysis for use in data classification via training of a recurrent neural network to identify features from limited reference sets. Based on a one-shot learning algorithm, the method includes selecting a subset of reference data and training a classifier with the selected data. This small subset of reference data can be iteratively tuned to enhance classification of the data according to the desired output of the method. The apparatus may be configured to allow a user to interactively select a subset of reference data which is used to train the classifier and to evaluate classifier performance.

Abstract: A modality controlling apparatus according to an embodiment includes a display and a processing circuitry. The display is configured to display an input object for inputting an instruction for controlling a first modality and a status object indicating a status related to a second modality. The processing circuitry is configured to display the input object in a first section of the display and to display the status object in a second section of the display which is a section smaller than the first section.

Abstract: A medical image-processing apparatus of an embodiment includes a processing circuitry. The processing circuitry acquires a plurality of medical images including a predetermined region and having different time phases. The processing circuitry sets a first region of interest and a second region of interest in each of the plurality of medical images. The processing circuitry derives a temporal change in first pixel values, which are pixel values on the first region of interest, on the basis of the first pixel values and derives a temporal change in second pixel values, which are pixel values on the second region of interest, on the basis of the second pixel values. The processing circuitry sets a first time window on the basis of the temporal change in the first pixel values and sets a second time window on the basis of the temporal change in the second pixel values.

Abstract: A data processing device according to an embodiment includes a processing circuit. The processing circuit performs data processing using a learned model with a neural network including a division processing layer that divides input complex first vector data by complex second vector data containing features of the first vector data, a nonlinear layer that is disposed in the subsequent stage of the division processing layer and that performs a nonlinear operation, and a multiplication processing layer that is disposed in the subsequent stage of the nonlinear layer and that multiplies the input data by the second vector data.

Abstract: A medical image data processing apparatus comprising processing circuitry configured to: receive medical image data; segment a body part included in the medical image data into multiple regions; refine or constrain the segmentation based on at least one plane to obtain a segmentation that includes at least one boundary or other feature having a desired property.

Abstract: The healthcare information processing apparatus according to the present embodiment comprises a memory; and processing circuitry configured to collect at least one information among a vital information, an activity information, and an environment information of a subject, associate with a date and/or time, and store in a memory; ask questions to the subject when the information meets a predefined condition based on the information of the subject; and cause the memory to store a response to the questions.

Abstract: A marker-coordinate detecting unit detects coordinates of a stent marker on a new image when the new image is stored in an image-data storage unit; and then a correction-image creating unit creates a correction image from the new image through, for example, image transformation processing, so as to match up the detected coordinates with reference coordinates that are coordinates of the stent marker already detected by the marker-coordinate detecting unit in a first frame. An image post-processing unit then creates an image for display by performing post-processing on the correction image created by the correction-image creating unit, the post-processing including high-frequency noise reduction filtering-processing, low-frequency component removal filtering-processing, and logarithmic-image creating processing; and then a system control unit performs control of displaying a moving image of an enlarged image of a set region that is set in the image for display, together with an original image.

Abstract: In one embodiment, an MRI apparatus includes: a transmission circuit configured to apply a transmission pulse to an object; at least one radio frequency (RF) coil configured to include an active trap circuit provided with a PIN diode, and to receive a magnetic resonance signal from the object; a power supply circuit configured to apply a reverse bias voltage and a forward bias voltage to the PIN diode, and to apply multiple values of a forward current when the forward bias voltage is applied to the PIN diode; and a control circuit configured to control the power supply circuit in such a manner that the power supply circuit sets the forward current to the multiple values, depending on imaging conditions.

Abstract: According to one embodiment, an ultrasonic diagnostic apparatus includes an ultrasonic probe and processing circuitry. The ultrasonic probe is configured to transmit and receive an ultrasonic wave. The processing circuitry is configured to acquire an optical image of a subject housed in a housing unit containing a medium. The processing circuitry is configured to estimate state information of the subject from the optical image. The processing circuitry is configured to set a scan condition of ultrasonic scanning for the subject based on the state information.

Abstract: An MRI apparatus includes a scanner configured to apply an RF pulse to an object and processing circuity configured to: set a first pulse sequence in which acquisition of a first set of MR signals is started after a first delay time from application of a first excitation pulse, and a second pulse sequence in which acquisition of a second set of MR signals is started after a second delay time from application of a second excitation pulse, the second delay time being different from the first delay time; acquire first and second sets of MR signals by causing the scanner to apply the first and second pulse sequences to the object; generate a combined dataset by averaging a first dataset based on the first set of MR signals and a second dataset based on the second set of MR signals; and reconstruct an MR image based on the combined dataset.

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: A radiation detector according to an embodiment includes an array substrate including multiple detecting parts detecting radiation directly or in collaboration with a scintillator, an analog circuit reading an image data signal from the multiple detecting parts, a digital circuit configuring a radiation image based on a signal from the analog circuit, and an inductor connected between a ground of the analog circuit and a ground of the digital circuit.

Abstract: An ultrasonic diagnostic apparatus of an embodiment includes a processing circuitry. The a processing circuitry acquires contact information detected by a plurality of contact sensors provided at different positions on an ultrasonic probe inserted into a body cavity of a subject and causes an output interface to output information representing a state of the ultrasonic probe in the body cavity on the basis of the contact information and the positions of the contact sensors provided on the ultrasonic probe.

Abstract: A method and apparatus is provided that uses a deep learning (DL) network to reduce noise and artifacts in reconstructed medical images, such as images generated using computed tomography, positron emission tomography, and magnetic resonance imaging. The DL network can operate either on pre-reconstruction data or on a reconstructed image. The DL network can be an artificial neural network or a convolutional neural network (e.g., using a three-channel volumetric kernel architecture). Different neural networks can be trained depending on the noise level, scanning protocol, or the anatomic, diagnostic or clinical objective of the reconstructed image (e.g., by partitioning the training data into noise-level range and training respective DL networks for each range). Further, the DL networks can be trained to mitigate artifacts, such as the cone-beam artifact.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image related to the pancreas. The processing circuitry is configured to extract a pancreas region included in the medical image. The processing circuitry is configured to extract at least one tubular structure region from the inside of the pancreas region. The processing circuitry is configured to identify a first end part and a second end part related to the pancreas on the basis of the pancreas region. The processing circuitry is configured to estimate a primary pancreatic duct centerline of the pancreas on the basis of the tubular structure region, the first end part, and the second end part.

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 X-ray diagnostic apparatus according to an embodiment includes processing circuitry configured to improve quality of fourth data corresponding to a fourth number of views that is smaller than a first number of views by inputting the fourth data to a learned model generated by performing machine learning with second data corresponding to a second number of views as input learning data, and third data corresponding to a third number of views that is larger than the second number of views as output learning data, the second data and the third data being acquired based on first data corresponding to the first number of views. The fourth data is data acquired by tomosynthesis imaging.

Abstract: A medical information processing device according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire biometric information on a patient, detect a trend change in the biometric information at a predetermined timing on a basis of time-series data regarding the biometric information, and determine whether the trend change is due to a measurement error in the biometric information or due to a change in a condition of the patient.

Abstract: A neutron position detector according to an embodiment includes a tubular enclosure used as a cathode, an anode located at an axial center inside the enclosure, and a gas that includes a 3He gas and an additive gas and is sealed inside the enclosure. The additive gas includes nitrogen as a quenching gas, and argon as a gas that reduces the ranges of reaction products as neutron and 3He gas.