Abstract: According to one embodiment, an information processing apparatus includes processing circuitry. The processing circuitry calculates a plurality of bases by performing a basis conversion on signal data. The processing circuitry selects one or more specific bases with contribution rates lower than a reference from among the bases. The processing circuitry executes data processing utilizing the specific bases.

Abstract: According to one embodiment, a medical data processing apparatus includes a processing circuitry. The processing circuitry is configured to: obtain first medical data; generate, based on the first medical data, a derived model from a trained model; obtain second medical data for a same subject as a subject of the first medical data and with an acquisition parameter different from an acquisition parameter of the first medical data; and apply the second medical data to the derived model to generate third medical data.

Abstract: According to one embodiment, a reconstruction apparatus obtains acquired raw data, and reconstruct a data set that represents a measured physical amount with a multidimensional space based on the acquired raw data. Herein, the apparatus performs reduction processing for generating noise-reduced partial data from partial data relating to a partial area of a data set at a current number of iterations, error compensation processing for compensating errors in a data set at the current number of iterations with respect to the acquired raw data, and optimization processing for reconstructing the data set by repeating the reduction processing and the error compensation processing until predetermined criteria are met, while moving the partial area.

Abstract: A magnetic resonance (MR) simulation apparatus according to an embodiment includes processing circuitry. The processing circuitry updates and obtains, for each of voxels, an electron-spin density matrix based on a pulse sequence for acquisition of MR signals. For each of the voxels, the processing circuitry computes, during an acquisition period for the MR signals in the pulse sequence, an observation value representing a predetermined observation by using the density matrix, and computes a spatial partial differential of the observation value based on the pulse sequence. The processing circuitry computes a signal value for output based on the observation value and the spatial partial differential of the observation value. The signal value represents a sum of the MR signals in the voxels.

Abstract: In one embodiment, an MRI apparatus comprising: a static magnetic field magnet configured to generate a static magnetic field; a shim coil configured to enhance uniformity of the static magnetic field; and processing circuitry configured to acquire shimming data for correcting static magnetic field non-uniformity, control an electric current value of the shim coil by using the shimming data, acquire MR image generation data by performing an imaging scan that acquires magnetic resonance signals for generating an image of the object, determine whether to reacquire the shimming data during the imaging scan or not, based on the MR image generation data, and reacquire the shimming data during the imaging scan if reacquisition is determined, and control the electric current value of the shim coil during the imaging scan based on reacquired shimming data.

Abstract: In one embodiment, a data processing apparatus includes processing circuitry configured to: generate first artificial data; generate second artificial data; generate mixed data by mixing the first artificial data and the second artificial data; and generate mixed region information related to a region where the first artificial data and the second artificial data are mixed.

Abstract: According to one embodiment, an apparatus includes processing circuitry. The processing circuitry acquires output data from a trained model by entering examination data acquired at an examination, the examination data corresponding to first data, the output data corresponding to second data, into the trained model configured to, based on the first data acquired through transmission of an ultrasound wave for a first number of times, output the second data acquired through transmission of an ultrasound wave for a second number of times that is greater than the first number of times.

Abstract: According to one embodiment, an imaging support apparatus includes processing circuitry. The processing circuitry is configured to acquire a first image and a second image older than the first image. The processing circuitry is configured to calculate a correction value for reproducing the second image. The processing circuitry is configured to determine reproducibility of the second image based on the correction value.

Abstract: According to one embodiment, a medical data processing apparatus includes processing circuitry. The processing circuitry acquires medical data. The processing circuitry generates output data by using a composite function consisting of one or more functions on the medical data, the one or more functions performing arithmetic processing of a fixed coefficient associated with information of interest in the medical data.

Abstract: A medical data processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to receive medical data as an input. The processing circuitry is configured to perform a medical determination process on the basis of the input data. The processing circuitry is configured to output information about a determination step together with a determination result of the medical determination process.

Abstract: A processing circuitry inputs, in regard to an isochromat, a value before update of magnetization, and a value before update of a partial differential for the magnetization in each of a spatial direction and/or an angular frequency direction. The processing circuitry executes an arithmetic operation of an update formula representing a time-dependent behavior of magnetic resonance, by using a part of the values before update of the magnetization, and the values before update of the partial differential, and compute, in regard to the isochromat, a value after update of the magnetization, and a value after update of the partial differential for the magnetization in a computation target direction of the spatial direction and/or the angular frequency direction.

Abstract: A medical data processing apparatus includes a memory and processing circuitry. The memory stores a learned model including an input layer to which first MR data and second MR data having the same imaging target as the first MR data and an imaging parameter different from the first MR data are inputted, an output layer from which third MR data is output with a missing portion of the first MR data restored, and at least one intermediate layer arranged between the input layer and the output layer. The processing circuitry generates third MR data relating to the subject, from the first MR data serving as a process target and relating to the subject and the second MR data relating to the subject and acquired by an imaging parameter different from the first MR data serving as the process target, in accordance with the learned model.

Abstract: A processing circuitry sets a first acquisition area and a second acquisition area, which are a target for signal acquisition through triaxial localization, in such a manner that the first acquisition area does not three-dimensionally overlap with the second excitation area for the second acquisition area, and the second acquisition area does not three-dimensionally overlap with the first excitation area. A pulse sequence generator acquires a first magnetic resonance signal by selectively exciting the first excitation area, and acquires a second magnetic resonance signal by selectively exciting the second excitation area.

Abstract: According one embodiment, a data generation apparatus includes processing circuitry. The processing circuitry is configured to obtain an operation instruction based on a user operation on an image diagnostic apparatus or an image diagnostic apparatus simulator. The processing circuitry is configured to convert the operation instruction into an internal instruction relating to hardware control of the image diagnostic apparatus or the image diagnostic apparatus simulator from which the operation instruction has been obtained. The processing circuitry is configured to generate simulation data by executing a physical simulation using the internal instruction.

Abstract: A medical data processing apparatus includes a memory and processing circuitry. The memory stores a learned model including an input layer to which first MR data and second MR data having the same imaging target as the first MR data and an imaging parameter different from the first MR data are inputted, an output layer from which third MR data is output with a missing portion of the first MR data restored, and at least one intermediate layer arranged between the input layer and the output layer. The processing circuitry generates third MR data relating to the subject, from the first MR data serving as a process target and relating to the subject and the second MR data relating to the subject and acquired by an imaging parameter different from the first MR data serving as the process target, in accordance with the learned model.

Abstract: The sequence control circuitry repeatedly performs a first data acquisition for acquiring first data, using a first MRS pulse sequence including a first means based on a first pattern that includes frequency selective pulses, and a second data acquisition for acquiring second data, using a second MRS pulse sequence including a second means for selecting a second pattern that differs from the first pattern and includes frequency selective pulses. The frequency selective pulses make selection frequencies of frequency selective pulses before and after an excitation pulse differ and/or are optimized to make (tTE?tJ) differ from tJ wherein tJ is a time between the frequency selective pulses and tTE is an echo time.

Abstract: A MR simulation apparatus according to an embodiment includes an input interface, central processing circuitry, and numerical processing circuitry. The input interface inputs a subsequence, being to be a subject of a simulation of a MR phenomenon, of a MR pulse sequence; and a plurality of isochromats having a same Bo shift at different positions corresponding to subvoxels which are segments of each of voxels related to the simulation of a MR phenomenon. The central processing circuitry determines, based on the subsequence, two or more isochromats exhibiting equivalent MR phenomenal behaviors as equivalent isochromats from the plurality of isochromats. The numerical processing circuitry collectively simulates MR phenomenal behaviors of the equivalent isochromats due to the subsequence by the same computation.

Abstract: An MR signal processing apparatus according to one embodiment includes processing circuitry. The processing circuitry inputs a plurality of MRS signals acquired by MR spectroscopy on the same target to a trained model, and outputs a parameter for MRS reconstruction.

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: An image reconstruction apparatus according to an embodiment includes a processing circuitry configured to reconstruct at least one image from a plurality of pieces of k-space data acquired in a time direction. The processing circuitry performs image estimation calculation that reconstructs estimated images sharing the k-space data in the time direction, and adaptation calculation that adapts the estimated images to prior knowledge in the time direction.