Abstract: A medical image processing apparatus according to the present embodiment includes processing circuitry. The processing circuitry acquires a first image and a second image with respect to a target site of a subject, the first image and the second image being medical images with different imaging times. The processing circuitry sets a plurality of regions of interest in the first image and the second image. The processing circuitry specifies pairs of corresponding regions of interest in the first image and the second image among the plurality of regions of interest. The processing circuitry causes a display to display the first image and the second image, and causes the display to display information corresponding to each of the plurality of regions of interest between the first image and the second image in a manner such that regions of interest for which the pair has been specified are distinguished from regions of interest for which the pair has not been specified.

Abstract: The medical image processing apparatus disclosed herein includes processing circuitry configured to acquire a medical image for setting identification information for identifying a plurality of regions in the medical image, determine a plurality of seed points in the medical image, select one of the plurality of seed points on a shortest path from a first node, the shortest path being a path in which a sum of energies between pixels in the medical image is minimized and the first node being a pixel of the medical image for which the identification information is not set, and allocate the identification information.

Abstract: An image processing apparatus includes a generation unit configured to generate a first distance image having a pixel value based on a distance from an outline of a region that indicates a predetermined part of the subject and is extracted from a first image, and having a resolution lower than a resolution of the first image, and generate a second distance image having a pixel value based on a distance from an outline of a region that indicates the predetermined part and is extracted from a second image, and having a resolution lower than a resolution of the second image, a first calculation unit configured to calculate first deformation information by registering the first distance image and the second distance image, and a second calculation unit configured to calculate second deformation information by registering the first image and the second image based on the first deformation information.

Abstract: An image processing apparatus includes a first extraction unit configured to extract a first target region from an image using a trained classifier, a setting unit configured to set region information to be used in a graph cut segmentation method based on a first extraction result including the first target region, a second extraction unit configured to extract a second target region using the graph cut segmentation method based on the set region information, and a generation unit configured to generate a ground truth image corresponding to the image based on a second extraction result including the second target region.

Abstract: An image processing apparatus obtains segment definition information that defines a plurality of segments obtained by dividing a human body along a body axis, and obtains a three-dimensional image including a plurality of slice images indicating cross sections of a subject. The image processing apparatus identifies, based on the segment definition information, a segment to which a cross section corresponding to at least one slice image among the slice images included in the image belongs, and calculates a coordinate value of the at least one slice image, based on the identified segment and a reference coordinate system in which a coordinate value is defined for each of the segments.

Abstract: An apparatus acquires a first converted image by converting resolution of a first image of a subject into first resolution, acquires a second converted image by converting resolution of a second image into the first resolution, acquires first deformation information for executing image registration between the first converted image and the second converted image with the first resolution, and generates a subtraction image with the first resolution based on the first deformation information, the subtraction image showing a difference between the first converted image and the second converted image, or generates a second subtraction image based on second deformation information obtained in such a manner that resolution of the first deformation information is converted into the resolution of the first image, the second subtraction image showing a difference between the first image and the second image.

Abstract: An image processing apparatus includes a generation unit configured to generate a first distance image having a pixel value based on a distance from an outline of a region that indicates a predetermined part of the subject and is extracted from a first image, and having a resolution lower than a resolution of the first image, and generate a second distance image having a pixel value based on a distance from an outline of a region that indicates the predetermined part and is extracted from a second image, and having a resolution lower than a resolution of the second image, a first calculation unit configured to calculate first deformation information by registering the first distance image and the second distance image, and a second calculation unit configured to calculate second deformation information by registering the first image and the second image based on the first deformation information.

Abstract: An image processing apparatus includes a first extraction unit configured to extract a first target region from an image using a trained classifier, a setting unit configured to set region information to be used in a graph cut segmentation method based on a first extraction result including the first target region, a second extraction unit configured to extract a second target region using the graph cut segmentation method based on the set region information, and a generation unit configured to generate a ground truth image corresponding to the image based on a second extraction result including the second target region.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first image of an object and a second image of the object; a difference unit configured to obtain a difference image after the first image and the second image are registered; and a change unit configured to perform processing of changing a pixel value in the difference image based on a likelihood calculated using a pixel value in the first image and a pixel value in the second image.

Abstract: An image processing apparatus obtains segment definition information that defines a plurality of segments obtained by dividing a human body along a body axis, and obtains a three-dimensional image including a plurality of slice images indicating cross sections of a subject. The image processing apparatus identifies, based on the segment definition information, a segment to which a cross section corresponding to at least one slice image among the slice images included in the image belongs, and calculates a coordinate value of the at least one slice image, based on the identified segment and a reference coordinate system in which a coordinate value is defined for each of the segments.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first image of an object and a second image of the object; a difference unit configured to obtain a difference image after the first image and the second image are registered; and a change unit configured to perform processing of changing a pixel value in the difference image based on a likelihood calculated using a pixel value in the first image and a pixel value in the second image.

Abstract: An image processing apparatus includes an image obtaining unit configured to obtain a time-sequential image obtained in order of a start image, a plurality of intermediate images, and an end image, an image selecting unit configured to select a plurality of combinations of images including the start image, at least one of the plurality of intermediate images, and the end image, and a conformable image determining unit configured to determine a conformable combination from among the plurality of combinations based on image quality of the images included in each of the plurality of combinations and a similarity between the images included in each of the plurality of combinations.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first image of an object and a second image of the object; a difference unit configured to obtain a difference image after the first image and the second image are registered; and a change unit configured to perform processing of changing a pixel value in the difference image based on a likelihood calculated using a pixel value in the first image and a pixel value in the second image.

Abstract: An image processing apparatus comprises generating unit configured to generate a second image by changing a size of a first image such that a region of interest in the second image satisfies a predetermined criterion about a dimension; and extracting unit configured to extract the region of interest from the second image generated by the generating unit, by applying a Graph-Cut method using a Graph-Cut coefficient corresponding to the criterion to the second image.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first image of an object and a second image of the object; a difference unit configured to obtain a difference image after the first image and the second image are registered; and a change unit configured to perform processing of changing a pixel value in the difference image based on a likelihood calculated using a pixel value in the first image and a pixel value in the second image.

Abstract: An apparatus acquires a first converted image by converting resolution of a first image of a subject into first resolution, acquires a second converted image by converting resolution of a second image into the first resolution, acquires first deformation information for executing image registration between the first converted image and the second converted image with the first resolution, and generates a subtraction image with the first resolution based on the first deformation information, the subtraction image showing a difference between the first converted image and the second converted image, or generates a second subtraction image based on second deformation information obtained in such a manner that resolution of the first deformation information is converted into the resolution of the first image, the second subtraction image showing a difference between the first image and the second image.

Abstract: An image processing apparatus comprising: a division unit configured to divide, into a plurality of partial regions, a region of interest obtained from each of cross sections of a first image and a second image; a statistic information calculation unit configured to calculate statistic information of pixels included in the partial region; a degree-of-coincidence calculation unit configured to calculate a degree of coincidence between the pieces of statistic information for a partial region in the first image and a partial region in a pair of cross-sectional positions in the first image and the second image; and a specifying unit configured to specify positions of corresponding cross sections between the first image and the second image based on comparison between evaluation values each obtained by integrating the degrees of coincidence over all of the plurality of partial regions.

Abstract: An image processing apparatus includes an image obtaining unit to obtain a time-sequential image obtained in order of a start image, a plurality of intermediate images, and an end image. A route determining unit determines a route passing from the start to the end image via at least one of the plurality of intermediate images for the time-sequential image. An image selecting unit selects a plurality of first selection images from among the plurality of intermediate images. A conformity calculating unit calculates a first conformity based on image quality of the first selection image and a similarity between the start image and the first selection image, for each of the plurality of first selection images. A conformable image determining unit determines a first conformable image from among the plurality of first selection images on the basis of the first conformity corresponding to each of the plurality of first section images.

Abstract: An image processing apparatus includes an image obtaining unit configured to obtain a time-sequential image obtained in order of a start image, a plurality of intermediate images, and an end image, an image selecting unit configured to select a plurality of combinations of images including the start image, at least one of the plurality of intermediate images, and the end image, and a conformable image determining unit configured to determine a conformable combination from among the plurality of combinations based on image quality of the images included in each of the plurality of combinations and a similarity between the images included in each of the plurality of combinations.

Abstract: An image processing apparatus comprising: a division unit configured to divide, into a plurality of partial regions, a region of interest obtained from each of cross sections of a first image and a second image; a statistic information calculation unit configured to calculate statistic information of pixels included in the partial region; a degree-of-coincidence calculation unit configured to calculate a degree of coincidence between the pieces of statistic information for a partial region in the first image and a partial region in a pair of cross-sectional positions in the first image and the second image; and a specifying unit configured to specify positions of corresponding cross sections between the first image and the second image based on comparison between evaluation values each obtained by integrating the degrees of coincidence over all of the plurality of partial regions.