基于多尺度方法的多模态微分同胚图像配准

Abstract

Abstract: Multimodality image registration is widely used in remote sensing, clinical medicine and other fields. Many models for multimodality image registration were proposed in the past few decades. Concerning this problem, there are two major challenges: (1) the existence of physical mesh folding; (2) the ill-posedness of similarity measure minimization/maximization problem. In order to address those problems, a multi-scale approach for diffeomorphic image registration based on Rényi's statistical dependence measure is proposed, which can avoid estimating joint probability density function, and obtain a smooth minimizer of the energy functional without mesh folding and priori regularization. In addition, the existence of solution for the proposed model and the convergence of the multi-scale approach are proved. And numerical tests are performed to show the efficiency of the proposed algorithm in the monomodality image registration and multimodality image registration.

Key words: Multi-modality, Diffeomorphic, Multi-scale, Image registration, Rényi's statistical dependence measure

CLC Number:

TP391

Zijuan Ding huan han. Multi-scale approach for diffeomorphic multi-modality image registration[J].Acta mathematica scientia,Series A, , (): 0-0.

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Multi-scale approach for diffeomorphic multi-modality image registration

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