The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 22, 2012
Filed:
Sep. 05, 2008
Le LU, East Norriton, PA (US);
Adrian Barbu, Tallahassee, FL (US);
Matthias Wolf, Coatesville, PA (US);
Sarang Lakare, Chester Springs, PA (US);
Luca Bogoni, Philadelphia, PA (US);
Marcos Salganicoff, Bala Cynwyd, PA (US);
Dorin Comaniciu, Princeton Junction, NJ (US);
Le Lu, East Norriton, PA (US);
Adrian Barbu, Tallahassee, FL (US);
Matthias Wolf, Coatesville, PA (US);
Sarang Lakare, Chester Springs, PA (US);
Luca Bogoni, Philadelphia, PA (US);
Marcos Salganicoff, Bala Cynwyd, PA (US);
Dorin Comaniciu, Princeton Junction, NJ (US);
Siemens Medical Solutions USA, Inc., Malvern, PA (US);
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.