DocumentCode :
2463842
Title :
A Unified and Efficient Approach for Free-form Deformable Registration
Author :
Khamene, Ali ; Azar, Fred ; Schwarz, Loren ; Zikic, Darko ; Navab, Nassir ; Rietzel, Eike
Author_Institution :
Siemens Corp. Res., Princeton
fYear :
2007
fDate :
14-21 Oct. 2007
Firstpage :
1
Lastpage :
8
Abstract :
We propose a novel numerical approach for solving the free-form deformable registration problem. The central idea is to utilize the well understood techniques from variational deformable registration problems. We demonstrate that it is possible to formulate the free-form deformable registration problem as the optimization of an energy functional as in the dense deformation case. This energy functional possesses image distance and regularization terms, which are both functions of the free-form deformation control points. We then setup a semi-backward (implicit) partial differential equation that optimizes the established energy functional. In addition to being mathematically justified, this approach provides both accuracy and speed. Our evaluation on synthetic, real, two dimensional, and three dimensional data demonstrates accuracy and computational effectiveness.
Keywords :
image registration; partial differential equations; variational techniques; dense deformation case; energy functional optimization; free-form deformable registration; image distance term; image regularization term; semi-backward partial differential equation; variational deformable registration problems; Application software; Biomedical imaging; Biomedical optical imaging; Computer vision; Displacement control; Image motion analysis; Motion analysis; Nonlinear optics; Partial differential equations; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Conference_Location :
Rio de Janeiro
ISSN :
1550-5499
Print_ISBN :
978-1-4244-1630-1
Electronic_ISBN :
1550-5499
Type :
conf
DOI :
10.1109/ICCV.2007.4409160
Filename :
4409160
Link To Document :
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