System and method for performing a three-dimensional virtual examination of objects, such as internal organs
AssigneeThe Research Foundation of State University of New York
InventorsArie E. Kaufman, Zhengrong Liang, Mark R. Wax, Ming Wan, Dongqing Chen, Bin Li
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Abstract
Methods for generating a three-dimensional visualization image of an object, such as an internal organ, using volume visualization techniques are provided. The techniques include a multi-scan imaging method; a multi-resolution imaging method; and a method for generating a skeleton of a complex three dimension object. The applications include virtual cystoscopy, virtual laryngoscopy, virtual angiography, among others.
Claims20
A method of performing computed assisted diagnosis of a region of interest, comprising:
- acquiring imaging scan data including at least a portion of the region of interest;
- converting the imaging scan data to a volume representation including a plurality of voxels, at least a portion of the voxels representing a surface of the region of interest;
- analyzing a first portion of voxels representing the surface to determine a context surface texture feature of the region of interest;
- analyzing a second portion of voxels representing the surface to identify a local surface texture feature;
- comparing the local surface texture feature to the context surface texture feature and identifying the local surface texture as indicative of an abnormality if the local surface texture is at least sufficiently different from the context texture feature.
A method of performing computed assisted diagnosis of a region of interest, comprising:
- acquiring imaging scan data including at least a portion of the region of interest;
- converting the imaging scan data to a volume representation including a plurality of voxels, at least a portion of the voxels representing a surface of the region of interest;
- analyzing a first portion of voxels representing the surface to determine a context surface texture feature of the region of interest;
- analyzing a second portion of voxels representing the surface to identify a local surface texture feature;
- comparing the local surface texture feature to the context surface texture feature and identifying regions as indicative of an abnormality if the local surface texture of the region is at least sufficiently different from the context surface texture feature;
- and
- analyzing said identified regions where the local surface texture is indicative of an abnormality for a geometric feature further indicative of an abnormality.
Dependencies are inferred from the claim text.