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: 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: 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: 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 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: An ultrasound diagnosis apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains time-series data having complex values based on a reflected wave of an ultrasound wave transmitted by an ultrasound probe and calculates an expansion coefficient in a case in which the obtained time-series data is expressed as a linear sum of a plurality of mathematical functions, the time-series data having, as an argument, a first parameter related to time. The plurality of mathematical functions are mathematical functions that are possible to be generated on a basis of a function family that has, as arguments, the first parameter and a second parameter different from the first parameter.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes a processor and a memory. The memory stores processor-executable instructions that cause the processor to detect cross-sectional positions of a plurality of cross-sectional images to be acquired in an imaging scan from volume data; acquire the cross-sectional images in sequence based on the cross-sectional positions by executing the imaging scan; and after the first cross-sectional image is acquired in the imaging scan, generate a display image, and display the display image on a display, the display image being an image in which a cross-sectional position of a second cross-sectional image which is detected from the volume data is superimposed on the first cross-sectional image, the second cross-sectional image being a cross-sectional image before being acquired and intersecting with the first cross-sectional image.

Abstract: A magnetic resonance imaging apparatus according to embodiments includes processing circuitry. The processing circuitry configured to acquire layout information which defines a layout of cross-sectional images on a localizer screen, to detect cross-sectional positions of the cross-sectional images from MR data, and to generate the localizer screen according to the layout information, the localizer screen including all or a part of the plurality of cross-sectional images generated on the basis of the plurality of cross-sectional positions.

Abstract: According to one embodiment, a magnetic resonance imaging apparatus includes sequence control circuitry. The sequence control circuitry acquires magnetic resonance signals corresponding to each of N spokes (N is a natural number of two or more) which is less than the total number of spokes, and thereafter acquires magnetic resonance signals corresponding to each of the N spokes after the N spokes are rotated while maintaining angles between adjacent spokes.

Abstract: A medical image processing apparatus according to a present embodiment includes processing circuitry. The processing circuitry is configured to accept an operation for a region of interest (ROI) GUI and a guide GUI on a screen on which a medical image is displayed, the ROI GUI being for setting a ROI on the medical image, the guide GUI being for guiding a setting of the ROI on the medical image. The processing circuitry is configured to decide whether to move the ROI GUI and the guide GUI in a manner interlocked with each other or not according to a preset condition, when a turning operation or a sliding operation for any one of the ROI GUI and the guide GUI is accepted.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes processing circuitry. The processing circuitry generates a plurality of cross-sectional images for setting a sectional position to be collected in main imaging based on a characteristic portion of a target detected in three-dimensional data. The processing circuitry lists the cross-sectional images on a display and superimposes a mark corresponding to the characteristic portion on at least one of the cross-sectional images. The processing circuitry receives a setting operation to determine the sectional position. The processing circuitry causes, when the mark is selected in the setting operation, a cross-sectional image to be emphasized a sectional position of which is defined using the characteristic portion corresponding to the mark among the listed cross-sectional images. The processing circuitry performs main imaging based on the sectional position after the setting operation.

Abstract: According to one embodiment, a magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry estimates transmission inhomogeneity caused in a transmit RF magnetic field from a first image based on a first signal received by a whole-body coil, and estimates reception inhomogeneity caused in a receive RF magnetic field from the first image and a second image based on a second signal received by a surface coil. The processing circuitry generates a third image, having a resolution higher than a resolution of the first image and a resolution of the second image, based on a third signal received by the surface coil. The processing circuitry corrects the third image by using the estimated transmission inhomogeneity and reception inhomogeneity.

Abstract: A magnetic resonance imaging apparatus acquires first imaging data of a three-dimensional image including a heart, having a plurality of two-dimensional first imaging area data superimposed one on top of another in parallel, and having a resolution at least in one direction different from a resolution in two other directions. A first axis is detected expressed in three dimensions relating to the heart from the three-dimensional first imaging data. A first vector is calculated passing through the first axis and having at least a predetermined resolution. First image data is generated on a plane passing through the first axis and the first vector from the first imaging data and a second axis is detected relating to the heart from the first image data, the second axis being a higher precision axis.

Abstract: A medical diagnostic apparatus according to one embodiment comprises processing circuitry. The processing circuitry is configured to acquire a three-dimensional shape of a first part based on a contour of the first part in each of a plurality of sectional images intersecting each other along an extending direction of the first part connecting to a cardiac chamber; acquire a three-dimensional shape of a second part, based on a contour of the second part in a sectional image along an extending direction of the second part connecting to the cardiac chamber; and generate a three-dimensional image representing at least some of the first part, the second part, and the cardiac chamber using a three-dimensional shape representing the cardiac chamber and the three-dimensional shapes of the first part and the second part acquired.

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: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to detect a region of body fluid flowing in a subject from time-series images acquired by scanning an imaging area including a tagged region to which a tagging pulse is applied and imaging the imaging area; generate a plurality of display images in which the detected body fluid region is displayed in a display mode determined based on a positional relation between the body fluid region and a boundary line, the boundary line determined based on the tagged region; and output time-series display images including the plurality of display images to be displayed on a display.

Abstract: According to one embodiment, a magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry estimates transmission inhomogeneity caused in a transmit RF magnetic field from a first image based on a first signal received by a whole-body coil, and estimates reception inhomogeneity caused in a receive RF magnetic field from the first image and a second image based on a second signal received by a surface coil. The processing circuitry generates a third image, having a resolution higher than a resolution of the first image and a resolution of the second image, based on a third signal received by the surface coil. The processing circuitry corrects the third image by using the estimated transmission inhomogeneity and reception inhomogeneity.

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 of embodiments, an MRI apparatus includes at least one receiving coil configured to receive magnetic resonance signals from an object; and processing circuitry configured to generate an image based on the magnetic resonance signals, calculate a weighting map of the image based on at least one of a sensitivity characteristic of the receiving coil and a distance from a magnetic field center, and generate a quantitative susceptibility image, which quantitatively indicates magnetic susceptibility inside a body, from the image by using the weighting map.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes processing circuitry. The processing circuitry generates a plurality of cross-sectional images for setting a sectional position to be collected in main imaging based on a characteristic portion of a target detected in three-dimensional data. The processing circuitry lists the cross-sectional images on a display and superimposes a mark corresponding to the characteristic portion on at least one of the cross-sectional images. The processing circuitry receives a setting operation to determine the sectional position. The processing circuitry causes, when the mark is selected in the setting operation, a cross-sectional image to be emphasized a sectional position of which is defined using the characteristic portion corresponding to the mark among the listed cross-sectional images. The processing circuitry performs main imaging based on the sectional position after the setting operation.