Title :
Flux driven fly throughs
Author :
Bouix, Sylvain ; Siddiqi, Kaleem ; Tannenbaum, Allen
Author_Institution :
Sch. of Comput. Sci., McGill Univ., Montreal, Que., Canada
Abstract :
We present a fast, robust and automatic method for computing central paths through tubular structures for application to virtual endoscopy. The key idea is to utilize a medial surface algorithm, which exploits properties of the average outward flux of the gradient vector field of a Euclidean distance function the boundary of the structure of interest. The algorithm is modified to yield a collection of 3D curves, each of which is locally centered. The approach requires no user interaction, and is virtually parameter free and has low computational complexity. We illustrate the approach on segmented colon and vessel data.
Keywords :
blood vessels; endoscopes; image segmentation; medical image processing; virtual reality; 3D curve; Euclidean distance function; average outward flux; central path computation; central path extraction; coronary artery; flux driven fly through; gradient vector field flux; medial curve; medial surface; tubular structure; virtual endoscopy; Biomedical engineering; Biomedical imaging; Blood vessels; Computer science; Computer vision; Endoscopes; Euclidean distance; Image segmentation; Rendering (computer graphics); Robustness;
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1900-8
DOI :
10.1109/CVPR.2003.1211388