Toboggan-based shape characterization
AssigneeSiemens Medical Solutions USA, Inc.
InventorsJianming Liang, Luca Bogoni
Life of this patent
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Abstract
A method and apparatus for characterizing an image. The method selects one or more toboggan potentials from the image, or a portion thereof, to be tobogganed. It toboggans the selected toboggan potentials to generate one or more toboggan parameters, forming at least one toboggan cluster using one or more of the toboggan parameters. It also selects one or more of the toboggan clusters to compute at least one feature parameter to characterize the image or a portion thereof.
Claims28
A method of characterizing an image, the method comprising:
- tobogganing one or more selected toboggan potentials to generate one or more toboggan parameters, wherein at least one of the selected toboggan potentials is selected from the image, or one or more portions of the image;
- forming one or more toboggan clusters using at least one of the toboggan parameters;
- and
- selecting one or more of the toboggan clusters to compute one or more feature parameters, wherein said feature parameters include a slide direction, a direct distance and a sliding distance from a voxel to its concentration location, and a distance ratio from the direct distance and sliding distance, wherein said distance ratio is a measure of a sphericity of a cluster, wherein computing feature parameters includes calculating a surface isotropy measure as a ratio of a local concentration of a location (“LCL”) and a minimum distance to a surface of a cluster for a selected toboggan cluster, wherein the LCL value identifies a number of voxels that slide to a location, and the minimum distance is a shortest distance from the location of the LCL to the surface of the toboggan cluster.
A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform a method of characterizing an image, the program steps comprising:
- tobogganing one or more selected toboggan potentials to generate one or more toboggan parameters, wherein at least one of the selected toboggan potentials is selected from the image, or one or more portions of the image;
- forming one or more toboggan clusters using at least one of the toboggan parameters;
- and
- selecting one or more of the toboggan clusters to compute one or more feature parameters, wherein said feature parameters include a slide direction, a direct distance and a sliding distance from a voxel to its concentration location, and a distance ratio from the direct distance and sliding distance, wherein said distance ratio is a measure of a sphericity of a cluster, wherein computing feature parameters includes calculating a surface isotropy measure as a ratio of a local concentration of a location (“LCL”) and a minimum distance to a surface of a cluster for a selected toboggan cluster, wherein the LCL value identifies a number of voxels that slide to a location, and the minimum distance is a shortest distance from the location of the LCL to the surface of the toboggan cluster.
Dependencies are inferred from the claim text.