A Comparison of Similarity Measures for 2D Rigid MR Image Registration Using Wavelet Transform
Medical image registration is a decisive step in medical image processsing. In intensity-based image registration methods, multiresolution coarse-to-fine strategy is often used to speed up the registration process. In this paper, several commonly-used similarity measures were compared under multi-resolution wavelet framework. The similarity measures are energy, joint entropy, mutual information, normalized mutual information, correlation ratio, and partitioned intensity uniformity. Experimental results give a guidance to the selection of appropriate similarity measures for registration in a multiresolution wavelet framework.
KeywordsSimilarity Measure Mutual Information Discrete Wavelet Transform Image Registration Normalize Mutual Information
Unable to display preview. Download preview PDF.
- 9.Roche, A., Malandain, G., Pennec, X., et al.: The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration. In: Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 1115–1124 (1998)Google Scholar
- 12.Wu, J., Chung, A.: Multimodal Brain Image Registration Based on Wavelet Transform using SAD and MI. In: The Second International Workshop on Medical Imaging and Augmented Reality, pp. 270–277 (2004)Google Scholar
- 14.Gao, Z., Lin, J., Xu, B.: The Affection of Grey Levels on Mutual Information Based Medical Image Registration. In: Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1575–1579 (2003)Google Scholar