Abstract: The image analysis device includes an analysis unit that analyzes input image data using a preset analysis function, and a control unit that, in a case in which a start-up request is received from an exterior, determines an analysis function to be a start-up target among plural analysis functions based on an analysis result obtained by the preset analysis function and a preset condition, and performs control to start-up the determined analysis function.

Abstract: A region extraction unit extracts a bone region and a cartilage region from a three-dimensional image. A projection direction determination unit determines a projection direction of the cartilage region and a projection image generation unit projects the bone region and the cartilage region in the determined projection direction and generates a projection image. A quantification unit calculates a quantitative value of the cartilage region on the projection image.

Abstract: An area extraction unit extracts a cartilage area from a morphological image. An alignment unit performs alignment between a morphological image and a functional image. A mapping unit generates a mapping image obtained by mapping the functional image to the morphological image. A display control unit displays the mapping image on a display.

Abstract: Providing an inner wall image generation unit that generates, based on a three-dimensional image of a subject, an inner wall image representing the inner wall of a hollow organ of the subject, a specific region projection image generation unit that obtains a representative value based on a plurality of voxels on a light ray vector extending outside the hollow organ by a preset distance from each pixel of the inner wall image and generates a specific region projection image by projecting the representative value on the inner wall image, and a display control unit that superimposingly displays the specific region projection image on the inner wall image, wherein the specific region projection image generation unit sets some visualization target voxels from the voxels of the three-dimensional image, and obtains a representative value of a visualization target voxel in the plurality of voxels on the light ray vector.

Abstract: An area extraction unit extracts a cartilage area from a morphological image. An alignment unit performs alignment between a morphological image and a functional image. A mapping unit generates a mapping image obtained by mapping the functional image to the morphological image. A display control unit displays the mapping image on a display.

Abstract: A medical image measuring apparatus includes a tissue information label assigning unit that assigns each point of a medical image with a tissue information label representing tissue information each point belongs, a measuring unit that performs measurement in the medical image, and a measurement subject label assigning unit that determines, based on a tissue information label assigned to a measurement point or a point within a region of interest used for the measurement, a measurement subject label representing a measurement subject and assigns the label to a result of the measurement.

Abstract: A linked switching partial area and a non-linked switching partial area are set in at least one display area in which a tomogram is to be displayed. When an input operation giving an instruction to switch the tomogram is performed in the non-linked switching partial area, only the image displayed in the display area is switched. When the input operation is performed in the linked switching partial area, the image displayed in the display area is switched and an image displayed in each of the other display area or areas is also switched in a linked manner.

Abstract: A region extraction unit extracts a bone region and a cartilage region from a three-dimensional image. A projection direction determination unit determines a projection direction of the cartilage region and a projection image generation unit projects the bone region and the cartilage region in the determined projection direction and generates a projection image. A quantification unit calculates a quantitative value of the cartilage region on the projection image.

Abstract: Obtaining a surface image captured by an endoscope inserted in a tubular organ associated with a surrounding blood vessel and representing an inner surface of a wall of the organ, generating, from a three-dimensional image representing a three-dimensional area including the organ, an adjacent blood vessel image depicting a portion of the blood vessel adjacent to the wall from a viewpoint in the three-dimensional image corresponding the viewpoint of the surface image, generating, from a three-dimensional image representing a three-dimensional area including a surrounding area of the organ, a surrounding blood vessel image depicting the blood vessel from a viewpoint in the three-dimensional image corresponding the viewpoint of the surface image, and causing the surface image, adjacent blood vessel image, and surrounding blood vessel image to be displayed in this order on a display unit.

Abstract: A surgery assistance apparatus includes an organ region extraction unit that extracts a tubular-organ region from a three-dimensional image obtained by imaging a tubular-organ and a blood vessel dominating the tubular-organ, a blood vessel region extraction unit that extracts a blood vessel region dominating the tubular-organ from the three-dimensional image, a branching structure extraction unit that extracts a branching structure of the blood vessel from the extracted blood vessel region, and a dominated region identification unit that identifies, with respect to an arbitrary partial blood vessel corresponding to an upper edge branching at least once to reach an edge including a terminal-end of the extracted branching structure, a dominated region in the tubular-organ region that is dominated by the arbitrary partial blood vessel by using positional relationships between a plurality of terminal end points present after the edge of the arbitrary partial blood vessel branches last and the tubular-organ region

Abstract: Specification of a point of interest is received. After then, a distance of movement on a path from an initial viewpoint is obtained based on an operation amount obtained at an operation unit, such as a mouse. View line vectors are set by sequentially changing the view line vectors from an initial view line vector with its start point located at the initial viewpoint to a shortest view line vector connecting a point of interest and a viewpoint at a shortest distance by moving, along the path, a viewpoint of a virtual endoscope on the path from the initial viewpoint closer to the point of interest and by changing the direction of a view line of the virtual endoscope closer to a direction toward the point of interest. Virtual endoscopic images are sequentially generated based on the set view line vectors, and the generated virtual endoscopic images are sequentially displayed.

Abstract: A view point is set inside a hollow organ, a clip plane crossing an internal cavity of the hollow organ is set in a position spaced apart in a visual line direction from the view point, a field of view from the view point is divided into a first field-of-view range in which the inside of the hollow organ is viewed and a second field-of-view range other than the first field-of-view range, a projection image is acquired using a template which is defined so that an inner wall surface of a large intestine is able to be drawn in the first field-of-view range, a projection image is acquired using a template which is defined so that a contact surface with the inner wall surface of the air region of the large intestine is able to be drawn in the second field-of-view range, and the projection images are connected.

Abstract: A medical image display apparatus includes a three-dimensional image obtaining unit that obtains a three-dimensional image of a subject, a tubular tissue region obtaining unit that obtains a tubular tissue region representing a tubular tissue of the subject from the three-dimensional image, an endpoint identification unit that identifies, if the tubular tissue region obtained by the tubular tissue region obtaining unit is separated, each endpoint of the two tubular tissue regions connecting to the separating portion, a cross-sectional image generation unit that generates a cross-sectional image that includes the two endpoints identified by the endpoint identification unit, a display control unit that displays the cross-sectional image generated by the cross-sectional image generation unit and a three-dimensional image of the tubular tissue region, and a route receiving unit that receives input of a route connecting the two tubular tissue regions.

Abstract: A virtual endoscope image is generated based on an opacity template in which a pixel value of a three-dimensional image is associated with an opacity, the opacity template being capable of showing both of an inner wall of a large intestine region and an inner wall of a residue region present in the large intestine region on the virtual endoscope image, a viewpoint set in the vicinity of a boundary between a space region and the residue region in the large intestine region, a set surface set at a position separated by a previously set distance in a previously set line-of-sight direction from the viewpoint, and a pixel value on a light beam vector beyond the set surface among pixel values of the three-dimensional image on the light beam vector extending from the viewpoint.

Abstract: The medical image measurement device includes a medical image acquisition unit which acquires a first medical image and a second medical image obtained by photographing the same object of interest of the same patient at different time points, a measurement parameter acquisition unit which acquires a first measurement parameter set for measuring the features of the shape of the object of interest in the first medical image and a second measurement parameter set for measuring the features of the shape of the object of interest in the second medical image, an evaluation value acquisition unit which acquires an evaluation value indicating a change between the first measurement parameter and the second measurement parameter, and a determination unit which determines whether or not the change is equal to or greater than a preset amount of change based on the evaluation value.

Abstract: A surgery assistance apparatus includes an organ region extraction unit that extracts a tubular organ region from a three-dimensional image obtained by imaging a tubular organ and a blood vessel dominating the tubular organ, a region-of-interest setting unit that sets a region of interest in the tubular organ region, a blood vessel region extraction unit that extracts a blood vessel region dominating the tubular organ from the three-dimensional image, a branching structure extraction unit that extracts a branching structure of the blood vessel from the blood vessel region, and a dominating blood vessel identification unit that identifies a dominating blood vessel region in the blood vessel region that dominates the region of interest by using a positional relationship between a terminal end point of the extracted branching structure and the set region of interest.

Abstract: At least one of the common regions in time-sequence images is specified. Then, the time-sequence images are adjusted such that the position of that common region in at least one image among the time-sequence images is adjusted to the position of that common region in a different image. Then, the new adjusted time-sequence images are subjected to video compression processing.

Abstract: A three-dimensional image is obtained, and a relative degree of interest is set at each of plural positions on a path connecting the plural positions in the three-dimensional image. A discrimination condition for identifying, based on the set degree or degrees of interest, a virtual endoscopic image or images to be generated from the three-dimensional image is obtained, and only the virtual endoscopic image or images identified based on the discrimination condition are generated based on the three-dimensional image.

Abstract: A view point is set inside a hollow organ, a clip plane crossing an internal cavity of the hollow organ is set in a position spaced apart in a visual line direction from the view point, a field of view from the view point is divided into a first field-of-view range in which the inside of the hollow organ is viewed and a second field-of-view range other than the first field-of-view range, a projection image is acquired using a template which is defined so that an inner wall surface of a large intestine is able to be drawn in the first field-of-view range, a projection image is acquired using a template which is defined so that a contact surface with the inner wall surface of the air region of the large intestine is able to be drawn in the second field-of-view range, and the projection images are connected.

Abstract: A virtual endoscope image is generated based on an opacity template in which a pixel value of a three-dimensional image is associated with an opacity, the opacity template being capable of showing both of an inner wall of a large intestine region and an inner wall of a residue region present in the large intestine region on the virtual endoscope image, a viewpoint set in the vicinity of a boundary between a space region and the residue region in the large intestine region, a set surface set at a position separated by a previously set distance in a previously set line-of-sight direction from the viewpoint, and a pixel value on a light beam vector beyond the set surface among pixel values of the three-dimensional image on the light beam vector extending from the viewpoint.