Paper
19 July 2013 Multi-modal image registration based on diffeomorphic demons algorithm
Chao Tang, Xiaohui Xie, Ruxu Du
Author Affiliations +
Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88781N (2013) https://doi.org/10.1117/12.2030750
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chao Tang, Xiaohui Xie, and Ruxu Du "Multi-modal image registration based on diffeomorphic demons algorithm", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88781N (19 July 2013); https://doi.org/10.1117/12.2030750
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KEYWORDS
Image registration

Image processing

Medical imaging

Brain

Computed tomography

Neuroimaging

Image quality

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