DocumentCode :
438731
Title :
Coupled PDEs for non-rigid registration and segmentation
Author :
Unal, Gozde ; Slabaugh, Greg
Author_Institution :
Dept. of Intelligent Vision & Reasoning, Siemens Corporate Res., Princeton, NJ, USA
Volume :
1
fYear :
2005
fDate :
20-25 June 2005
Firstpage :
168
Abstract :
In this paper we present coupled partial differential equations (PDEs) for the problem of joint segmentation and registration. The registration component of the method estimates a deformation field between boundaries of two structures. The desired coupling comes from two PDEs that estimate a common surface through segmentation and its non-rigid registration with a target image. The solutions of these two PDEs both decrease the total energy of the surface, and therefore aid each other in finding a locally optimal solution. Our technique differs from recently popular joint segmentation and registration algorithms, all of which assume a rigid transformation among shapes. We present both the theory and results that demonstrate the effectiveness of the approach.
Keywords :
image registration; image segmentation; partial differential equations; coupled partial differential equations; joint registration; joint segmentation; nonrigid image registration; nonrigid image segmentation; Anatomical structure; Application software; Biomedical imaging; Deformable models; Image motion analysis; Image segmentation; Joints; Medical diagnostic imaging; Partial differential equations; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.115
Filename :
1467264
Link To Document :
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