Abstract: In one embodiment, a medical image processing apparatus includes a display and processing circuitry. The processing circuitry is configured to (a) calculate fluid information including flow-velocity vectors based on three-dimensional image data of plural time phases, which are acquired by a phase contrast method of magnetic resonance imaging, and in which fluid flowing inside a lumen is depicted, (b) identify a branching position where a second lumen branches from a first lumen, based on change in flow volume of fluid flowing inside the first lumen along an extending direction of the first lumen, and (c) cause the display to display an analysis result including fluid information of fluid flowing inside the second lumen, based on the branching position.

Abstract: A medical-image processing apparatus according to an embodiment includes an extracting unit, a dividing unit, and an estimating unit. The extracting unit extracts a disease candidate region from a medical image. The dividing unit divides the disease candidate region into multiple partial regions. The estimating unit uses the feature value of each of the partial regions to estimate the disease state of the disease candidate region.

Abstract: A medical image diagnosis apparatus and an image data processing apparatus that diagnoses vascular invasion status of a tumor and decides the most appropriate therapy method for the tumor by extracting tumor candidate regions and vascular regions based on extensive volume data derived from covering a therapy target organ, and specifying an adjacent vascular region existing within a prescribed scope from a gravity center of a tumor. The tumor candidate regions and vascular regions are generated as 3D image data or MPR image data for submitting a recommended therapy method for the tumor by adding branch data of the adjacent vascular.

Abstract: The extraction unit extracts a plurality of medical images as a list display target from an image storage unit storing a plurality of medical images and an plurality of apparatus types in association with each other. The list generation unit generates a list in which a plurality of reduced images respectively corresponding to the plurality of extracted medical images are arranged. The plurality of reduced images are arranged for each apparatus type in the list, and the list clearly indicates a reduced image corresponding to a candidate image of the plurality of extracted medical images that is more likely to be used. The display displays the generated list.

Abstract: According to one embodiment, an image observation apparatus includes a condition storage, list generation circuitry, and a display. The condition storage stores a plurality of display target conditions respectively corresponding to a plurality of display areas in a display screen. The list generation circuitry generates a plurality of image lists respectively corresponding to the plurality of display areas, which concern additional items of a plurality of images respectively corresponding to the display target conditions. The display displays the plurality of image lists in the plurality of display areas, and an image corresponding to an additional item selected from the plurality of displayed image lists in the corresponding display area.

Abstract: According to one embodiment, a medical image processing apparatus includes an acquisition unit, an analysis unit, and a display controller. The acquisition unit acquires volume data of a morphological image and volume data of a functional image which are obtained by imaging an object. The analysis unit analyzes the volume data of the morphological image. The display controller controls to display a reference point on volume data of the morphological image and to decide a slice of the volume data of the functional image which passes through the reference point, based on an analysis result obtained by the analysis unit.

Abstract: The medical image processing device comprises a detection part, a storage part, an image generation part, and a display-control part. The detection part detects positions and directions of an endoscope. The storage part stores medical image data showing tubular tissues generated by a medical imaging device different from the endoscope. The image generation part generates virtual endoscopic image data showing the internal portion of the tubular tissues based on the medical image data having a position that is a predetermined distance away from the position of the endoscope as a viewpoint. The display-control part receives endoscopic image data showing the internal portion of the tubular tissues generated by the endoscope and displays an endoscopic image based on the endoscopic image data and a virtual endoscopic image based on the virtual endoscopic image data on a display part.

Abstract: A puncture support device includes a display unit, a puncture target setting unit, a puncturable region setting unit, a puncture route extraction unit, a safety degree calculation unit, and an insertion point candidate region display control unit. The puncture target setting unit is configured to set a puncture target in a acquired volume data. The puncturable region setting unit is configured to set a puncturable region on a body surface image. The puncture route extraction unit is configured to extract a puncture route from the set puncturable region on the body surface image to the puncture target. The safety degree calculation unit is configured to calculate a safety degree of the extracted puncture route. The insertion point candidate region display control unit is configured to divide the puncturable region into groups based on the calculated safety degree, and display the divided region on the display unit.

Abstract: A differential-image creating unit creates a three-dimensional image on which an artery is highlighted and a three-dimensional image on which a tumor is highlighted. An image compositing unit combines the three-dimensional images to composite an image. A display control unit displays the composite image on a monitor. Moreover, when compositing an image, the image compositing unit composites the image such that a tumor nutrient blood-flow inside and outside tumor is to be displayed in respective different colors. Furthermore, a blood-flow quantity inside tumor measuring unit calculates a blood-flow quantity inside tumor and a ratio of the blood-flow quantity inside tumor to a tumor volume, and the display control unit displays the blood-flow quantity inside tumor and the ratio of the blood-flow quantity inside tumor to the tumor volume. Accordingly, information that is meaningful for determining malignancy of a tumor can be provided.

Abstract: A medical image diagnosis apparatus and an image data processing apparatus that diagnoses vascular invasion status of a tumor and decides the most appropriate therapy method for the tumor by extracting tumor candidate regions and vascular regions based on extensive volume data derived from covering a therapy target organ, and specifying an adjacent vascular region existing within a prescribed scope from a gravity center of a tumor. The tumor candidate regions and vascular regions are generated as 3D image data or MPR image data for submitting a recommended therapy method for the tumor by adding branch data of the adjacent vascular.

Abstract: A cardiac cavity region specifying part specifies the position of a cardiac cavity region represented in volume data. An image generation plane determining part determines an image generation plane that includes a rotation axis intersecting the cardiac cavity region. With a direction orthogonal to the image generation plane as a view direction, a first image generator generates three-dimensional image data that three-dimensionally represents a region excluding the cardiac cavity region, based on data excluding data included in the cardiac cavity of the volume data. A second image generator generates two-dimensional image data that two-dimensionally represents a region in the image generation plane, based on the data excluding the data included in the cardiac cavity region of the volume data. An image synthesizer synthesizes the three-dimensional image data with the two-dimensional image data. A display controller causes a display to display the synthesized image.

Abstract: The medical image processing device comprises a detection part, a storage part, an image generation part, and a display-control part. The detection part detects positions and directions of an endoscope. The storage part stores medical image data showing tubular tissues generated by a medical imaging device different from the endoscope. The image generation part generates virtual endoscopic image data showing the internal portion of the tubular tissues based on the medical image data having a position that is a predetermined distance away from the position of the endoscope as a viewpoint. The display-control part receives endoscopic image data showing the internal portion of the tubular tissues generated by the endoscope and displays an endoscopic image based on the endoscopic image data and a virtual endoscopic image based on the virtual endoscopic image data on a display part.

Abstract: A cardiac cavity region specifying part specifies the position of a cardiac cavity region represented in volume data. An image generation plane determining part determines an image generation plane that includes a rotation axis intersecting the cardiac cavity region. With a direction orthogonal to the image generation plane as a view direction, a first image generator generates three-dimensional image data that three-dimensionally represents a region excluding the cardiac cavity region, based on data excluding data included in the cardiac cavity of the volume data. A second image generator generates two-dimensional image data that two-dimensionally represents a region in the image generation plane, based on the data excluding the data included in the cardiac cavity region of the volume data. An image synthesizer synthesizes the three-dimensional image data with the two-dimensional image data. A display controller causes a display to display the synthesized image.

Abstract: A differential-image creating unit creates a three-dimensional image on which an artery is highlighted and a three-dimensional image on which a tumor is highlighted. An image compositing unit combines the three-dimensional images to composite an image. A display control unit displays the composite image on a monitor. Moreover, when compositing an image, the image compositing unit composites the image such that a tumor nutrient blood-flow inside and outside tumor is to be displayed in respective different colors. Furthermore, a blood-flow quantity inside tumor measuring unit calculates a blood-flow quantity inside tumor and a ratio of the blood-flow quantity inside tumor to a tumor volume, and the display control unit displays the blood-flow quantity inside tumor and the ratio of the blood-flow quantity inside tumor to the tumor volume. Accordingly, information that is meaningful for determining malignancy of a tumor can be provided.