Method and system for polyp segmentation for 3D computed tomography colonography
US8184888B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 5, 2008 |
| Grant date | May 22, 2012 |
| Priority date | — |
| Expiry date | Jan 19, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30032
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for polyp segmentation in computed tomography colonogrphy (CTC) volumes is disclosed. The polyp segmentation method utilizes a three-staged probabilistic binary classification approach for automatically segmenting polyp voxels from surrounding tissue in CTC volumes. Based on an input initial polyp position, a polyp tip is detected in a CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.