Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image. The processing circuitry is configured to calculate a first blood flow direction on the basis of a structure of a region of interest rendered in the medical image. The processing circuitry is configured to calculate a second blood flow direction on the basis of a structure in the surroundings of the region of interest. The processing circuitry is configured to identify a condition of the region of interest, on the basis of the first blood flow direction and the second blood flow direction.

Abstract: An aspect of the present disclosure calculates a phase variance value indicating a degree of variance of a phase in a surrounding of each position in a biological tissue, based on phase values of excitation wave at respective positions in the biological tissue that acts in response to excitation caused by propagation of the excitation wave in the tissue, and generates an analysis map, based on a time series of at least part of the phase variance values at the respective positions. Since the phase variance value indicates the degree of variance of the phase in the surrounding, a position having a large degree of variance of the phase in the surrounding may be specified as a rotation center of rotating excitation wave.

Abstract: A method for estimating an arrangement of electrodes obtains detection signals when an initial electrode array having a sufficient number of electrodes for detection of excitation wave arranged and arrayed in a plane is attached to biological tissue. The method uses a plurality of input data based on detection signals obtained in a plurality of second electrode arrays generated by eliminating a predetermined number of electrodes at random from the initial electrode array, and uses an image of excitation wave in a process of obtaining the detection signals by using the initial electrode array, as teacher data, obtaining a learned model by deep learning. The method selects a second electrode array corresponding to an analysis image that is best matched with the image of the teacher data, among a plurality of analysis images obtained by applying the plurality of input data to the learned model, as a selective electrode array.

Abstract: A diagnostic support system including a pre-acquired data storage unit for storing, as comparison images, two or more images of internal information of a subject, the two or more comparison images being acquired in advance and each comparison image including image data, label information indicating biological tissue information or shape information, and feature value information with which a degree of similarity among the two or more comparison images can be identified; a calculation unit for inputting image data of an examination image acquired from a subject as an examination target to a learned model that has learned the two or more comparison images, so as to calculate feature value information of the examination image; and a display unit displaying the similarity between the examination image and each of the two or more comparison images on the basis of the feature value information of the two or more comparison images and the feature value information of the examination image.

Abstract: An ultrasound diagnostic system includes elements that are arranged around a test object and perform at least one of emission and reception of ultrasound, a data collection unit that collects measurement data of reflected ultrasound that is ultrasound reflected from the test object through at least one of the elements while switching an element that emits ultrasound, and a first learner that learns using training data including a test-object model and simulation measurement data to output a tomographic image of the test object from the measurement data, which is input to the first learner, the test-object model being expressed by an acoustic feature distribution, the simulation measurement data being obtained by emitting ultrasound while switching an element that emits ultrasound and receiving reflected ultrasound from the test-object model using least one of the elements in a simulation space in which a size and an arrangement of the elements are simulated.

Abstract: An aspect of the present disclosure calculates a phase variance value indicating a degree of variance of a phase in a surrounding of each position in a biological tissue, based on phase values of excitation wave at respective positions in the biological tissue that acts in response to excitation caused by propagation of the excitation wave in the tissue, and generates an analysis map, based on a time series of at least part of the phase variance values at the respective positions. Since the phase variance value indicates the degree of variance of the phase in the surrounding, a position having a large degree of variance of the phase in the surrounding may be specified as a rotation center of rotating excitation wave.