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:
Feb. 28, 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 providing a user interface for polyp annotation, segmentation, and measurement in computer tomography colonography (CTC) volumes is disclosed. The interface receives an initial polyp position in a CTC volume, and automatically segments the polyp based on the initial polyp position. In order to segment the polyp, a polyp tip is detected in the 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. The segmented polyp is displayed in the user interface, and a user can modify the segmented polyp boundary using the interface. The interface can measure the size of the segmented polyp in three dimensions. The user can also use the interface for polyp annotation in CTC volumes.