Abstract: A plurality of points that are present in a target membrane in a medical image are acquired, an initial shape of a polyhedron including the points is then created, normals at the points are then acquired, and a membrane structure is estimated by creating an isosurface using a radial basis function based on the coordinates of and the normals at the points.

Abstract: For the purpose of preventing a situation in which the fiber density looks as if it suddenly decreases in a specific view direction, a method comprises: specifying a region of interest R1 in MR image data collected by a diffusion tensor method; defining regular grid points in the region of interest R1; defining points obtained by randomly moving the grid points as tracking start points S1, S2, . . . ; performing diffusion tensor analysis on each tracking start point S1, S2, . . . in the image data to determine a direction of a principal axis vector; tracking a fiber by repeatedly selecting a neighbor point along the direction of the principal axis vector and performing diffusion tensor analysis on the neighbor point to determine the direction of the principal axis vector; and producing and displaying an image of the tracked fibers as viewed in a desired view direction.

Abstract: A method, system, and computer program product for identifying at least one three-dimensionally extended lesion within a volumetric region encompassing an inner surface, an outer surface, and intervening tissue of a target organ. The method includes: (1) generating a set of voxels representing a total scanned volume from a set of cross-sectional images of the target organ; (2) performing segmentation to extract a set of voxels representing the volumetric region from the set of voxels representing the total scanned volume; (3) detecting a set of candidate lesions based on geometric feature values of each voxel in the set of voxels representing the volumetric region; and (4) selecting the at least one three-dimensionally extended lesion from the set of candidate lesions based on at least one of volumetric, morphologic, and texture feature values of each lesion in the set of candidate lesions.

Abstract: For the purpose of preventing a situation in which the fiber density looks as if it suddenly decreases in a specific view direction, a method comprises: specifying a region of interest R1 in MR image data collected by a diffusion tensor method; defining regular grid points in the region of interest R1; defining points obtained by randomly moving the grid points as tracking start points S1, S2, . . . ; performing diffusion tensor analysis on each tracking start point S1, S2, . . . in the image data to determine a direction of a principal axis vector; tracking a fiber by repeatedly selecting a neighbor point along the direction of the principal axis vector and performing diffusion tensor analysis on the neighbor point to determine the direction of the principal axis vector; and producing and displaying an image of the tracked fibers as viewed in a desired view direction.

Abstract: A method, system, and computer program product for identifying at least one three-dimensionally extended lesion within a volumetric region encompassing an inner surface, an outer surface, and intervening tissue of a target organ. The method includes: (1) generating a set of voxels representing a total scanned volume from a set of cross-sectional images of the target organ; (2) performing segmentation to extract a set of voxels representing the volumetric region from the set of voxels representing the total scanned volume; (3) detecting a set of candidate lesions based on geometric feature values of each voxel in the set of voxels representing the volumetric region; and (4) selecting the at least one three-dimensionally extended lesion from the set of candidate lesions based on at least one of volumetric, morphologic, and texture feature values of each lesion in the set of candidate lesions.