Research on non-rigid registration of multi-modal medical image based on Demons algorithm

Non-rigid medical image registration is a popular subject in the research areas of the medical image and has an important clinical value. In this paper we put forward an improved algorithm of Demons, together with the conservation of gray model and local structure tensor conservation model, to const...

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Bibliographic Details
Published inSheng wu yi xue gong cheng xue za zhi Vol. 31; no. 1; p. 161
Main Authors Hao, Peibo, Chen, Zhen, Jiang, Shaofeng, Wang, Yang
Format Journal Article
LanguageChinese
Published China 01.02.2014
Subjects
Algorithms
Diagnostic Imaging
Humans
Imaging, Three-Dimensional
Models, Theoretical
Online AccessGet more information
ISSN1001-5515

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Summary:Non-rigid medical image registration is a popular subject in the research areas of the medical image and has an important clinical value. In this paper we put forward an improved algorithm of Demons, together with the conservation of gray model and local structure tensor conservation model, to construct a new energy function processing multi-modal registration problem. We then applied the L-BFGS algorithm to optimize the energy function and solve complex three-dimensional data optimization problem. And finally we used the multi-scale hierarchical refinement ideas to solve large deformation registration. The experimental results showed that the proposed algorithm for large de formation and multi-modal three-dimensional medical image registration had good effects.
ISSN:1001-5515