Research on Non-rigid Registration of Multi-modal Medical Image Based on Demons Algorithm_Journal of Biomedical Engineering

Authors：

HAOPeibo ¹ , CHENZhen ¹ ,  JIANGShaofeng ¹ , WANGYang ²

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;

Corresponding author：

JIANGShaofeng, Email: dr_chenzhen@sina.com

Keywords：

demons algorithm; conservation of structure tensor; non-rigid registration; 3D image registration

DOI：

10.7507/1001-5515.20140032

Video：

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Abstract Full text Figures/Tables Video References Cited by

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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9.	WANG H, DONG L, O'DANIEL J, et al. Validation of an accelerated ‘demons’ algorithm for deformable image registration in radiation therapy[J]. Phys Med Biol, 2005, 50(12):2887-2905.
10.	CACHIER P, PENNEC X, AYACHE N. Fast non-rigid matching by gradient descent:study and improvement of the demons algorithm[R]. INRIA Technical Report,1999,3706:25-48.
11.	VERCAUTEREN T, PENNEC X, PERCHANT A, et al. Non-parametric diffeomorphic image registration with the demons algorithm[J].Medical Image Computing and Computer-Assisted Intervention MICCAI,2007,10(Pt 2):319-326.
12.	LIAO S, LAW M W K, CHUNG A C S. Non-rigid image registration using electric current flow[C]//2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Breckenridge, 2012:169-174.
13.	徐成贤,陈志平,李乃成.近代优化方法[M].北京:科学出版社,2002:197-201.

1. 徐峰,刘伟,李传富,等.具有大形变特征的颅脑CT图像的非刚性配准[J].中国生物医学工程学报,2010,29(2):172-177.
2. LU X Q, MA H L, ZHANG B H, et al. A review of algorithm research progress for non-rigid medical image registration[C]//2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), Xianning, 2011:3863-3866.
3. LIKAR B, PERNUŠ F. A hierarchical approach to elastic registration based on mutual information[J]. Image Vis Comput, 2001, 19(1-2):33-44.
4. 冯林,张名举,贺明峰,等.用分层互信息和薄板样条实现医学图像弹性自动配准[J].计算机辅助设计与图形学学报,2005,17(7):1492-1496.
5. D'AGOSTINO E, MAES F, VANDERMEULEN D, et al. A viscous fluid model for multimodal non-rigid image registration using mutual information[J]. Med Image Anal, 2003, 7(4):565-575.
6. LESTER H, ARRIDGE S R, JANSONS K M, et al. Non-linear registration with the variable viscosity fluid algorithm[C]//Lecture Notes in Computer Science:Proceedings of the 16th International Conference on Information Processing in Medical Imaging, Visegrád, Hungary, 1999, 16(13):238-251.
7. THIRION J P. Image matching as a diffusion process:An analogy with Maxwell's demons[J]. Med Image Anal, 1998, 2(3):243-260.
8. HELLIER P, BARILLOT C, COROUGE I, et al. Retrospective evaluation of intersubject brain registration[J]. IEEE Trans Med Imaging, 2003, 22(9):1120-1130.
9. WANG H, DONG L, O'DANIEL J, et al. Validation of an accelerated ‘demons’ algorithm for deformable image registration in radiation therapy[J]. Phys Med Biol, 2005, 50(12):2887-2905.
10. CACHIER P, PENNEC X, AYACHE N. Fast non-rigid matching by gradient descent:study and improvement of the demons algorithm[R]. INRIA Technical Report,1999,3706:25-48.
11. VERCAUTEREN T, PENNEC X, PERCHANT A, et al. Non-parametric diffeomorphic image registration with the demons algorithm[J].Medical Image Computing and Computer-Assisted Intervention MICCAI,2007,10(Pt 2):319-326.
12. LIAO S, LAW M W K, CHUNG A C S. Non-rigid image registration using electric current flow[C]//2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Breckenridge, 2012:169-174.
13. 徐成贤,陈志平,李乃成.近代优化方法[M].北京:科学出版社,2002:197-201.

Journal of Biomedical Engineering

Research on Non-rigid Registration of Multi-modal Medical Image Based on Demons Algorithm

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