An Efficient Numerical Method for Mean Curvature-Based Image Registration Model

An Efficient Numerical Method for Mean Curvature-Based Image Registration Model

Year:    2017

East Asian Journal on Applied Mathematics, Vol. 7 (2017), Iss. 1 : pp. 125–142

Abstract

Mean curvature-based image registration model firstly proposed by Chumchob-Chen-Brito (2011) offered a better regularizer technique for both smooth and nonsmooth deformation fields. However, it is extremely challenging to solve efficiently this model and the existing methods are slow or become efficient only with strong assumptions on the smoothing parameter β. In this paper, we take a different solution approach. Firstly, we discretize the joint energy functional, following an idea of relaxed fixed point is implemented and combine with Gauss-Newton scheme with Armijo’s Linear Search for solving the discretized mean curvature model and further to combine with a multilevel method to achieve fast convergence. Numerical experiments not only confirm that our proposed method is efficient and stable, but also it can give more satisfying registration results according to image quality.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/eajam.200816.031216a

East Asian Journal on Applied Mathematics, Vol. 7 (2017), Iss. 1 : pp. 125–142

Published online:    2017-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    18

Keywords:    Deformable image registration regularization multilevel mean curvature.

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