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Proceedings Paper

Multi-modal image registration based on diffeomorphic demons algorithm
Author(s): Chao Tang; Xiaohui Xie; Ruxu Du
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Paper Abstract

Multi-modality image registration plays an important role in the domain of medical image processing. Diffeomorphic demons method has been proven to be a robust and efficient way for single mode image registration. However, it cannot deal with multi-modality image. In this paper we introduce mutual information into diffeomorphic demons method. On the basis of original force for driving image deformation, the proposed method adds mutual information gradient on the current transformation and adds mutual information into the energy function. We compare the performance of image registration results among our proposed method, diffeomorphic demons method and B-spline based free form deformation method in combination with mutual information. Experiment shows that our proposed method gives the better results like the smallest registration errors in case of local distortions. In conclusion, our proposed method has good performance in dealing with local deformation multi-model image registration.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88781N (19 July 2013); doi: 10.1117/12.2030750
Show Author Affiliations
Chao Tang, Shenzhen Institutes of Advanced Technology (China)
Shenzhen Key Lab. of Precision Engineering (China)
Xiaohui Xie, Shenzhen Institutes of Advanced Technology (China)
Shenzhen Key Lab. of Precision Engineering (China)
Ruxu Du, Shenzhen Institutes of Advanced Technology (China)
Shenzhen Key Lab. of Precision Engineering (China)
The Chinese Univ. of Hong Kong (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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