DocumentCode :
2517949
Title :
Registration of Diffusion Tensor Images Based on Hybrid Optimization Method
Author :
Li, Wen ; Luo, Min-min ; Jiang, Gui-ping
Author_Institution :
Dept. of Biomed. Eng., Southern Med. Univ., Guangzhou, China
fYear :
2009
fDate :
11-13 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
Registration of diffusion tensor images has attracted more and more attention in recent years. In this paper a novel affine registration algorithm for diffusion tensor (DT) MR images that enables explicit analytic optimization of tensor reorientation is presented. The objective function captures both the image similarity and tensor reorientation, which is necessary for warping DT images. The final optimization method seeks a hybrid optimization method. Results show that this method is a stable one, which not only avoids local extrema successfully, but also ensures that the DT orientations remain consistent with the anatomy after image transformations and also improves the average of overlap of eigenvalue-eigenvector.
Keywords :
biodiffusion; biomedical MRI; eigenvalues and eigenfunctions; image registration; medical image processing; optimisation; MR images; diffusion tensor image registration; eigenvalue-eigenvector function; hybrid optimization method; image transformations; warping DT images; Anatomy; Anisotropic magnetoresistance; Biological system modeling; Diffusion tensor imaging; Image analysis; Iterative algorithms; Myelin; Nerve fibers; Optimization methods; Tensile stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
Type :
conf
DOI :
10.1109/ICBBE.2009.5163294
Filename :
5163294
Link To Document :
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