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Entropic Framework for Nonrigid Registration of Diffusion Tensor Images
Conference proceeding

Entropic Framework for Nonrigid Registration of Diffusion Tensor Images

Mohamed Khader, A. Ben Hamza and IEEE
2013 39TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE (NEBEC 2013), pp.68-69
Annual IEEE Northeast Bioengineering Conference
01/01/2013
DOI: https://doi.org/10.1109/NEBEC.2013.92

Abstract

Engineering Engineering, Biomedical Engineering, Electrical & Electronic Science & Technology Technology
We propose a nonrigid registration approach for diffusion tensor images using a multicomponent information-theoretic measure. Explicit orientation optimization is enabled by incorporating tensor reorientation. Experimental results on medical images indicate the feasibility of the proposed approach not only in terms of registration accuracy in the presence of geometric distortion but also in terms of robustness to noise.

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