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 photon counting X-ray CT apparatus according to an embodiment includes: data acquiring circuitry, and processing circuitry. The data acquiring circuitry is configured to allocate energy measured by signals output from a photon counting detector in response to incidence of X-ray photons to any of a plurality of first energy bins so as to acquire a first data group as count data of each of the first energy bins. The processing circuitry is configured to determine a plurality of second energy bins obtained by grouping the first energy bins in accordance with a decomposition target material that is a material to be decomposed in a imaging region, allocate the first data group to any of the second energy bins so as to generate a second data group, and use the second data group to generate an image representing a distribution of the decomposition target material.

Abstract: According to one embodiment, a medical image diagnostic apparatus includes processing circuitry. The processing circuitry configured to generate initial restored signal data by applying a first restoration function to input signal data corresponding to medical signal data concerning an object, generate first element-wise product signal data by calculating an element-wise product of the initial restored signal data and reliability data representing a degree of degradation included in the input signal data, and generate restored signal data by applying a second restoration function to at least one of the input signal data and the initial restored signal data and the first element-wise product signal data.

Abstract: According to one embodiment, a medical signal processing apparatus includes processing circuitry. The processing circuitry inputs a medical signal to a learned model configured to output one of the following: a corrected signal that is corrected so as to reduce a pattern of the medical signal, the pattern appearing at a location shifted by a known shift amount in a known direction; pattern-related information relating to the pattern; or disease information relating to the medical signal. The processing circuitry outputs, by using the direction and the shift amount, one of the corrected signal, the pattern-related information, or the disease information.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes a collector, a transformation module, an unfolding module and an inverse transformation module. The collector collects time-series k-space data of a plurality of channels while spatially changing a sampling position. The transformation module obtains transformed space data of the respective channels by applying, to the time-series k-space data of the respect channels, Fourier transform on a spatial axis and certain transformation on a temporal axis. The unfolding module eliminates a signal point on a basis of a certain criterion and performs unfolding using the transformed space data on the respective channels and sensitivity distribution information on the respective channels; and the inverse transformation module applies inverse transformation of the certain transformation on the temporal axis to an unfolded data on which the signal point has been eliminated and the unfolding has been performed.

Abstract: A magnetic resonance imaging apparatus according to one embodiment includes an arranger, a sensitivity deriver, and an image generator. The arranger arranges time-series data at a part of sampling points out of sampling points of a k-space determined based on an imaging parameter. The sensitivity deriver derives a sensitivity distribution in a time-space, in which the time-series data transformed in a time direction is expressed with a coefficient value, based on the time-series data. The image generator generates an image of the time-series data using the time-series data and the sensitivity distribution.

Abstract: According to one embodiment, an ECG waveform detecting apparatus includes an input circuit and processing circuitry. The input circuit receives an ECG signal. The processing circuitry performs first detection of a specific waveform included in the ECG signal, performs update processing of a detection parameter for detecting the specific waveform based on a part of the specific waveform or result of the first detection, performs second detection of the specific waveform from the ECG signal by using the detection parameter after the update processing, and generates a synchronization signal based on information on the second detection.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes a processor, and a memory that stores processor-executable instructions. When the instructions are executed by the processor, the instructions cause the processor to give a sample value to at least a part of sampling positions having no sample value in first k-space data so as to create a second k-space data, the first k-space data having a sample value at a part of sampling positions on a k-space. The instructions cause the processor to create a first image from the first k-space data and a second image from the second k-space data. The instructions cause the processor to derive weighting factors for the first image and the second image. The instructions cause the processor to calculate a magnetic resonance image by performing weighted addition using the weighting factors on the first image and the second image.

Abstract: According to one embodiment, an image data restoration apparatus includes processing circuitry. The processing circuitry acquires a plurality of items of observation data respectively corresponding to a plurality of channels used in a computation; and iteratively executes a computation to optimize a fitting score between first observation data corresponding to a first channel subset and first intermediate image data based on the first observation data, and executes, after the iterative computation satisfies a predetermined condition, a computation to optimize a fitting score between second observation data corresponding to a second channel subset and second intermediate image data based on the second observation data to generate restored image data and outputs the restored image data.

Abstract: A magnetic resonance (MR) imaging apparatus of embodiments includes processing circuitry. The processing circuitry generates a third k-space data group including a first k-space data group and a second k-space data group, by adding the second k-space data group that is arranged in a second range adjacent to a first range, to the first k-space data group that is arranged in the first range and that is undersampled along at least one of the axes in k-space as well as in any axis that is different from the axes in the k-space. The processing circuitry generates an MR image group by performing a reconstruction process on the third k-space data group.

Abstract: According to an embodiment, a device includes first and second generators, a detector, and a corrector. The first generator is configured to generate a first image based on data corresponding to photons with a first energy from among data that is obtained based on an energy of radiation that has passed through a subject. The second generator is configured to generate a second image based on data corresponding to photons with a second energy. The detector is configured to detect, in the second image, a second block having a similar pattern of pixel values to a first block included in the second image. The corrector is configured to correct pixel values of a third block in the first image corresponding to the first block based on new pixel values of the third block that are calculated by using pixel values included in a fourth block in the first image.

Abstract: An X-ray computed-tomography (CT) apparatus of an embodiment includes an X-ray tube, an X-ray detector, and processing circuitry. The X-ray tube is configured to generate an X-ray. The X-ray detector includes a plurality of X-ray detection elements configured to output a signal based on the X-ray entered therein. The processing circuitry is configured to derive a constraint condition by using at least one piece of projection data out of a plurality of pieces of projection data corresponding energy bins of which differ at least partially, calculate an effective length that is a total length for which the X-ray has passed through a region in which a material to be decomposed is present, and generate image data showing information about the material by using the projection data and the effective length.

Abstract: According to one embodiment, an ECG waveform detecting apparatus includes an input circuit and processing circuitry. The input circuit receives an ECG signal. The processing circuitry performs first detection of a specific waveform included in the ECG signal, performs update processing of a detection parameter for detecting the specific waveform based on a part of the specific waveform or result of the first detection, performs second detection of the specific waveform from the ECG signal by using the detection parameter after the update processing, and generates a synchronization signal based on information on the second detection.

Abstract: An image processing device to reduce noise in a medical image includes first and second generators, a detector, and a corrector. A first image is generated based on data corresponding to photons with a first energy from among data that is obtained based on an energy of radiation that has passed through a subject and a second image is generated based on data corresponding to photons with a second energy. The detector finds, in the second image, a second block having a similar pattern of pixel values to a first block included in the second image. The corrector reduces noise by correcting pixel values of a third block in the first image corresponding to the first block based on new pixel values of the third block that are calculated by using pixel values included in a fourth block in the first image.

Abstract: According to an embodiment, a device includes first and second generators, a detector, and a corrector. The first generator is configured to generate a first image based on data corresponding to photons with a first energy from among data that is obtained based on an energy of radiation that has passed through a subject. The second generator is configured to generate a second image based on data corresponding to photons with a second energy. The detector is configured to detect, in the second image, a second block having a similar pattern of pixel values to a first block included in the second image. The corrector is configured to correct pixel values of a third block in the first image corresponding to the first block based on new pixel values of the third block that are calculated by using pixel values included in a fourth block in the first image.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes a sequence controller and an image generator. The sequence controller acquires k-space data corresponding to a predetermined quantity of encoding processes. The image generator extracts a plurality of data sets arranged in a time series from the k-space data, selects a data set from among the extracted plurality of data sets on the basis of a movement of a subject, and generates an image by using the selected data set.

Abstract: According to one embodiment, an ECG waveform detecting apparatus includes an input circuit and processing circuitry. The input circuit receives an ECG signal. The processing circuitry performs first detection of a specific waveform included in the ECG signal, performs update processing of a detection parameter for detecting the specific waveform based on a part of the specific waveform or result of the first detection, performs second detection of the specific waveform from the ECG signal by using the detection parameter after the update processing, and generates a synchronization signal based on information on the second detection.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes sequence controlling circuitry and processing circuitry. The sequence controlling circuitry is configured to acquire k-space data by executing a pulse sequence while performing undersampling. The processing circuitry is configured to generate an output target image by generating a folded image by applying a Fourier transform to the k-space data and further unfolding the folded image by performing a process that uses a regularization term. The processing circuitry applies a weight to the regularization term on the basis of whether or not each of the pixels in the output target image is included in an observation target region.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes first processing circuitry and second processing circuitry. The first processing circuitry executes a pulse sequence in a acquisition pattern set such that sampling densities of a plurality of pieces of k space data are made different in accordance with a predetermined imaging parameter when the pieces of k space data having different values of the imaging parameter are acquired while changing the values of the imaging parameter. The second processing circuitry generates an image based on the pieces of k space data.

Abstract: A magnetic resonance (MR) imaging apparatus of embodiments includes processing circuitry. The processing circuitry generates a third k-space data group including a first k-space data group and a second k-space data group, by adding the second k-space data group that is arranged in a second range adjacent to a first range, to the first k-space data group that is arranged in the first range and that is undersampled along at least one of the axes in k-space as well as in any axis that is different from the axes in the k-space. The processing circuitry generates an MR image group by performing a reconstruction process on the third k-space data group.