Abstract: A medical diagnostic-imaging apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires three-dimensional medical image data in which a subject is imaged. The processing circuitry extracts a movable range of a probe based on a structure of the subject shown in the three-dimensional medical image data. The processing circuitry sets a target scan region to be a subject to scanning by the probe based on the extracted movable range. The processing circuitry displays the target scan region in the three-dimensional medical image data.

Abstract: A medical-image processing apparatus and a medical-image diagnostic apparatus according to an embodiment include an acquisition unit, a generation unit, an identification unit, and a display control unit. The acquisition unit acquires a medical image containing a blood vessel collected by the medical-image diagnostic apparatus. The generation unit generates an anatomical structure model based on the medical image acquired by the acquisition unit. The identification unit identifies a position, on the medical image, of an index relating to blood flow analyzed through fluid analysis using the anatomical structure model. The display control unit displays the position of the index on the medical image, and also displays the index associated with the position of the index on the medical image.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain feature values related to the shape and a property of the heart. The processing circuitry is configured to estimate, by using the feature values, a state of the heart after a chest is opened. The processing circuitry is configured to estimate, based on a result of the estimation of the state of the heart, a state of the heart after the chest is closed after a treatment is completed. The processing circuitry is configured to output a parameter related to the estimated state of the heart after the chest is closed to a display.

Abstract: According to one embodiment, a medical image processing apparatus of an embodiment includes an acquirer, a reliability setter and a learner. The acquirer acquires training data created by a creator on the basis of a medical image. The reliability setter sets, to the training data acquired by the acquirer, reliability information based on a creation situation of the training data or information about the creator who created the training data. The learner generates a learned model using the training data according to weighting based on the reliability information set by the reliability setter.

Abstract: A medical image-processing apparatus according to embodiments includes processing circuitry. The processing circuitry is configured to acquire image data including a blood vessel of a subject. The processing circuitry is configured to acquire an index value relating to blood flow at each position of the blood vessel by performing fluid analysis of a structure of the blood vessel included in the acquired image data. The processing circuitry is configured to acquire information indicating a display condition of the index value, as switching information to switch a display mode at displaying the index value. The processing circuitry is configured to generate a result image in which pixel values reflecting the index value are assigned in a display mode according to the switching information, for an image indicating a blood vessel of the subject. The processing circuitry is configured to cause a display to display the result image.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires fractional flow reserve at rest in a coronary artery of a subject, and fractional flow reserve at stress in the coronary artery. The processing circuitry calculates an index value based on comparison between the fractional flow reserve at rest and the fractional flow reserve at stress. The processing circuitry displays the index value as an index for a myocardial function of the subject.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire a first parameter pertaining to a force at a coronary artery of a subject and a second parameter pertaining to at least one of a shape, character, and fluid resistance related to the coronary artery. The processing circuitry is configured to set, for at least either the first parameter or the second parameter, a weighting factor associated with an anatomical position of the coronary artery. The processing circuitry is configured to calculate, on the basis of the first parameter, the second parameter, and the weighting factor, an index pertaining to a risk on the subject.

Abstract: In a method for manufacturing a reformed SiC wafer 41 (a surface treatment method for a SiC wafer) having its surface that is reformed by processing an untreated SiC wafer 40 before formation of an epitaxial layer 42, the method includes a surface reforming step as described below. That is, the untreated SiC wafer 40 includes BPDs as dislocations parallel to an inside of a (0001) face, and TEDs. Property of the surface of the untreated SiC wafer 40 is changed so as to have higher rate in which portions having BPDs on the surface of the untreated SiC wafer 40 propagate as TEDs at a time of forming the epitaxial layer 42.

Abstract: In a method for manufacturing a device fabrication wafer, an SiC epitaxial wafer that is an SiC wafer 40 having a monocrystalline SiC epitaxial layer formed thereon is subjected to a basal plane dislocation density reduction step of reducing the density of basal plane dislocations existing in the epitaxial layer of the SiC epitaxial wafer, to thereby manufacture the device fabrication wafer for use to fabricate a semiconductor device. In the basal plane dislocation density reduction step, the SiC epitaxial wafer is heated under Si vapor pressure for a predetermined time necessary to reduce the density of basal plane dislocations, without formation of a cap layer on the SiC epitaxial wafer, so that the density of basal plane dislocations is reduced with suppression of surface roughening.

Abstract: A medical image-processing apparatus according to embodiments includes processing circuitry. The processing circuitry is configured to acquire image data including a blood vessel of a subject. The processing circuitry is configured to acquire an index value relating to blood flow at each position of the blood vessel by performing fluid analysis of a structure of the blood vessel included in the acquired image data. The processing circuitry is configured to acquire information indicating a display condition of the index value, as switching information to switch a display mode at displaying the index value. The processing circuitry is configured to generate a result image in which pixel values reflecting the index value are assigned in a display mode according to the switching information, for an image indicating a blood vessel of the subject. The processing circuitry is configured to cause a display to display the result image.

Abstract: In a method for manufacturing an SiC wafer, a work-affected layer removal step of removing a work-affected layer generated in a surface and inside of an SiC wafer is performed, so that the SiC wafer from which the work-affected layer is at least partially removed is manufactured. In the work-affected layer removal step, the SiC wafer having undergone a polishing step is etched with an etching amount of 10 ?m or less by being heated under Si vapor pressure so that the work-affected layer is removed. In the polishing step, an oxidizer is used to produce a reaction product in the SiC wafer while abrasive grains are used to remove the reaction product. In the SiC wafer having undergone the polishing step, an internal stress caused by the work-affected layer is present at a location inner than the work-affected layer, and an internal stress of the SiC wafer is reduced by removing the work-affected layer in the work-affected layer removal step.

Abstract: A medical work support system according to an embodiment includes an interface apparatus, a reception unit, and a control unit. The interface apparatus accepts operation by the user, outputs a signal corresponding to the accepted operation, and is detachably attached to wearing clothing configured to be worn by the user. The reception unit receives a signal output from the interface apparatus. The control unit executes predetermined processing based on a reception signal received by the reception unit.

Abstract: An X-ray diagnostic apparatus according to an embodiment includes processing circuitry configured to acquire a plurality of X-ray images over time based on X-rays having passed through a subject injected with a contrast agent, to calculate a blood vessel region corresponding to an inflow path of the contrast agent leading to a predetermined position in the blood vessel region, based on a temporal transition of signal intensities of the contrast agent in the blood vessel region represented in the X-ray images, and to perform control to display the blood vessel region corresponding to the inflow path in a display mode that is different from that of a blood vessel region other than the inflow path on a display.

Abstract: In one embodiment, a medical information processing apparatus includes processing circuitry configured to: perform processing using a trained model that is generated by machine learning with a plurality of training data; acquire first attribute data indicating an attribute of an object-to-be-trained related to the plurality of training data that are used for generating the trained model; acquire second attribute data indicating an attribute of an object-to-be-diagnosed; and perform the processing on input-data of the object-to-be-diagnosed based on goodness of fit that is an index indicating degree of matching between the first attribute data and the second attribute data.

Abstract: An X-ray diagnostic apparatus according to an embodiment includes an X-ray tube, an X-ray detector, image generating circuitry, and processing circuitry. The X-ray tube generates an X-ray. The X-ray detector is positioned in a manner facing the X-ray tube, and detects the X-ray. The image generating circuitry generates an X-ray image one after another, based on an output of the X-ray detector. The processing circuitry identifies an inserted object inside a subject in the X-ray image, by performing an image recognition process to the X-ray image. The processing circuitry sets the area to be searched for a marker, based on the inserted object identified in the X-ray image. The processing circuitry detects the marker in the X-ray image, by searching the area to be searched for the marker.

Abstract: A medical-information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires medical image data that is obtained during imaging on the subject in a resting state in the time phase where the relationship between the volume of blood flow and the pressure in a blood vessel in the cardiac cycle of the subject indicates a proportional relationship.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires a first index value obtained based on fluid analysis that is performed based on an image including a blood vessel of a subject, the first index value being related to blood flow at each of positions in the blood vessel. The processing circuitry acquires external information including a second index value related to blood flow at each of the positions in the blood vessel. The processing circuitry changes one of an arrangement direction of index values in a first graph and an arrangement direction of index values in a second graph in accordance with the other one of the arrangement directions. The processing circuitry displays the first graph and the second graph on a display unit such that the arrangement directions of the index values match each other.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain an image capturing a space in which a manipulation is being performed on an examined subject and non-image information related to at least one of the manipulation, the examined subject, or the space. Also, the processing circuitry is configured to detect a situation having a high possibility for an occurrence of an abnormality in the space, on the basis of the obtained image, the obtained non-image information, and first correspondence information. The first correspondence information indicates a correspondence relationship between two or more images capturing the space, non-image information, and abnormalities having a high possibility of occurring in the space.

Abstract: A medical-image processing apparatus and a medical-image diagnostic apparatus according to an embodiment include an acquisition unit, a generation unit, an identification unit, and a display control unit. The acquisition unit acquires a medical image containing a blood vessel collected by the medical-image diagnostic apparatus. The generation unit generates an anatomical structure model based on the medical image acquired by the acquisition unit. The identification unit identifies a position, on the medical image, of an index relating to blood flow analyzed through fluid analysis using the anatomical structure model. The display control unit displays the position of the index on the medical image, and also displays the index associated with the position of the index on the medical image.

Abstract: When a plurality of X-ray images in a time sequence is stored in an image data storing unit (25), a marker coordinate detecting unit (26a) detects coordinates of a stent marker in each X-ray image, and a motion vector calculating unit (26b) calculates, with coordinates of the stent marker detected in a first frame as reference coordinates, a motion vector of the coordinates of the stent marker detected in each X-ray image of a second and subsequent frames with respect to the reference coordinates. Then, a filter application range determining unit (26c) moves and determines an application range of a smoothing filter in each X-ray image based on the motion vector, and the filtered image generating unit (26d) generates a filtered image by performing a process by the smoothing filter between application ranges determined in a process target image and a reference image.