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论文类型：期刊论文

发表时间：2017-02-01

发表刊物：EAST ASIAN JOURNAL ON APPLIED MATHEMATICS

收录刊物：SCIE

卷号：7

期号：1

页面范围：125-142

ISSN号：2079-7362

关键字：Deformable image registration; regularization; multilevel; mean curvature

摘要：Mean curvature-based image registration model firstly proposed by ChumchobChen- 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 (SS). 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.