DocumentCode
2521168
Title
NON-RIGID IMAGE REGISTRATION USING ADAPTIVE GRID GENERATION: PRELIMINARY RESULTS
Author
Chen, Hua-Mei ; Hsieh, Chih-Yao ; Liao, Guojun
Author_Institution
Dept. of Comput. Sci. & Eng., Texas Univ., Arlington, TX
fYear
2007
fDate
12-15 April 2007
Firstpage
580
Lastpage
583
Abstract
In this paper, we present a new fully automated parametric non-rigid image registration method. The parameters in this new method are related to the divergence and the curl of an intermediate vector field from which the deformation field is computed. Regularization is achieved by imposing a constraint on the monitor function which is directly related to the divergence of the intermediate vector field. As a result, no regularization term is involved in our formulation. Our preliminary experimental results in 2D indicate that this new method has the potential to resolve the well known "aperture problem" suffered by many intensity based non-rigid image registration methods.
Keywords
image registration; medical image processing; adaptive grid generation; aperture problem; image registration; intermediate vector field; regularization; Apertures; Finite element methods; Grid computing; Image registration; Image resolution; Jacobian matrices; Mathematics; Mesh generation; Monitoring; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location
Arlington, VA
Print_ISBN
1-4244-0672-2
Electronic_ISBN
1-4244-0672-2
Type
conf
DOI
10.1109/ISBI.2007.356918
Filename
4193352
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