• 1. Department of Biomedical Engineering, Nanchang Hangkong University, Nanchang 330063, China;
  • 2. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China;
JIANGShaofeng, Email: dr_chenzhen@sina.com
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Non-rigid medical image registration is a popular subject in the research areas of the medical image and has an important clinical value. In this paper we put forward an improved algorithm of Demons, together with the conservation of gray model and local structure tensor conservation model, to construct a new energy function processing multi-modal registration problem. We then applied the L-BFGS algorithm to optimize the energy function and solve complex three-dimensional data optimization problem. And finally we used the multi-scale hierarchical refinement ideas to solve large deformation registration. The experimental results showed that the proposed algorithm for large deformation and multi-modal three-dimensional medical image registration had good effects.

Citation: HAOPeibo, CHENZhen, JIANGShaofeng, WANGYang. Research on Non-rigid Registration of Multi-modal Medical Image Based on Demons Algorithm. Journal of Biomedical Engineering, 2014, 31(1): 161-165. doi: 10.7507/1001-5515.20140032 Copy

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