System and method for using learned discriminative models to segment three dimensional colon image data
US7583831B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 8, 2006 |
| Grant date | Sep 1, 2009 |
| Priority date | — |
| Expiry date | Apr 13, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for using learned discriminative models to segment a border of an anatomical structure in a three dimensional (3D) image is disclosed. A discriminative probability model is computed for each voxel in the 3D image. Thresholding is performed on each discriminative probability model. One or more two dimensional (2D) slices of the thresholded 3D image along X-Y planes are obtained. Seed regions are selected in the 2D slices. Morphological region growing is performed on the selected seed regions. An initial 3D segmentation is obtained. Boundary evolution is performed on the initial 3D segmentation. The segmented anatomical structure is removed. in the original 3D image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.