Title :
Gaussian curvature flowmodel for colonic polyp detection in CT colonography
Author :
Chen, Dongqing ; Farag, Aly A. ; Falk, Robert L. ; Dryden, Gerald W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Louisville, Louisville, KY
Abstract :
In this paper, we propose a novel anisotropic 3D surface evolution model for detecting protrusion shape based colonic polyp on the curved surface. The important feature of the proposed model is that it can detect protrusions with both convex and concave shapes. Protrusion shapes are defined as the extension beyond the usual limits or above a plane surface. Based on Gaussian and mean curvature flows, the approach works by locally deforming the convex or concave surface until the second principal curvature goes to zero. The diffusion directions are changed to prevent convex surfaces from converting into concave shapes, and vice versa. The deformation field quantitatively measures the amount of protrudeness. The proposed method has been evaluated by using synthetic phantoms and real colon datasets.
Keywords :
cancer; computerised tomography; medical image processing; object detection; CT colonography; anisotropic 3D surface evolution model; colonic polyp; colorectal cancer; protrusion shape; Colonic polyps; Virtual colonoscopy; 3D Shape Representation; CT Colonography; Colorectal Cancer; Curvature Flow;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4712423