An Improved Demon Registration with Mutual Information for Non-Rigid Medical Images

Abstract:

Non-rigid image registration plays an important role in medical imaging. Classic Demons algorithm is a good method for image registration in some domain. One disadvantage of classic Demons algorithm is that the topological preservation can not be ensured, and it can only adapt to deal with the single modality image registration. In medical image analysis, the different modal images comparison and fusion are needed to give the doctor enough information for making a decision. The mutual information algorithm has been validated useful for multi-modality image registration. By analyzing the critical points of Demons registration like mis-registration, an improved Demons algorithm with mutual information evaluation is proposed. Experiment results on liver images between CT and MRI modality show that the proposed algorithm can deal with multi-modality image registration well and it can hold the abilities even faces the noise and distortion.

• Periodical: Applied Mechanics and Materials (Volumes 284-287)
• Pages: 1622-1626
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.1622
• Online since: January 2013
• Authors: Xiao Hui Xie, Cui Ma, Qiang Sun, Ruxu Du
• Keywords: Demons Algorithm, Image Registration, Multi-Modality, Mutual Information (MI)

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