DocumentCode :
2681056
Title :
A real-time algorithm for medical shape recovery
Author :
Malladi, R. ; Sethian, J.A.
Author_Institution :
Lawrence Berkeley Lab., CA, USA
fYear :
1998
fDate :
4-7 Jan 1998
Firstpage :
304
Lastpage :
310
Abstract :
In this paper, we present a shape recovery technique in 2D and 3D with specific applications in visualizing and measuring anatomical shapes from medical images. This algorithm models extremely corrugated structures like the brain, is topologically adaptable, is robust, and runs in O(N log N) time where N is the total number of points in the domain. Our two-stage technique is based on the level set shape recovery scheme and the fast marching method for computing solutions to static Hamilton-Jacobi equations
Keywords :
computational complexity; edge detection; feature extraction; medical image processing; O(N log N) time; anatomical shapes; brain; fast marching method; level set shape recovery scheme; medical shape recovery; real-time algorithm; static Hamilton-Jacobi equations; two-stage technique; Biomedical imaging; Brain modeling; Equations; Image segmentation; Laboratories; Level set; Mathematical model; Mathematics; Shape measurement; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1998. Sixth International Conference on
Conference_Location :
Bombay
Print_ISBN :
81-7319-221-9
Type :
conf
DOI :
10.1109/ICCV.1998.710735
Filename :
710735
Link To Document :
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