A statistical similarity measure for non-rigid multi-modal image registration

Jiangli Shi; Yunmei Chen; Murali Rao; Jinseop Lee

doi:10.1117/12.844553

12 March 2010 A statistical similarity measure for non-rigid multi-modal image registration

Jiangli Shi, Yunmei Chen, Murali Rao, Jinseop Lee

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 762307 (2010) https://doi.org/10.1117/12.844553
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

We present a novel variational framework for deformable multi-modal image registration. Our approach is based on Renyi's statistical dependence measure of two random variables with the use of reproducing kernel Hilbert spaces associated with Gaussian kernels to simplify the computation. The popularly used method of maximizing mutual information based optimization algorithms are complex and sensitive to the quantization of the intensities, because it requires the estimation of continuous joint probability density function (pdf). The proposed model does not deal with joint pdf but instead observed independent samples. Experimental results are provided to show the effectiveness of the model.

Citation Download Citation

Jiangli Shi, Yunmei Chen, Murali Rao, and Jinseop Lee "A statistical similarity measure for non-rigid multi-modal image registration", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762307 (12 March 2010); https://doi.org/10.1117/12.844553

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