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
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