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A coupled filtering method to solve feature-motion decorrelation in speckle tracking
Authors
Tianzhu Liang
Weichuan Yu
Publication date
1 January 2010
Publisher
Doi
Cite
Abstract
In speckle tracking, feature-motion decorrelation is a problem that makes feature tracking results unable to represent the underlying tissue deformation. In this paper, we propose a coupled filtering method to address the feature-motion decorrelation problem. After explicitly modeling image variations caused by tissue deformation, we filter the image before tissue deformation and the warped image after tissue deformation with a pair of filters, respectively. Theoretical derivation show that the two filtered images are identical to each other. Since the coupled filtering method keeps tissue deformation parameters, feature-based tracking is able to accurately estimate the parameters of underlying tissue deformation. Experiments in elastography studies show that our method is superior over previous methods. ©2010 IEEE
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Hong Kong University of Science and Technology Institutional Repository
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oai:repository.ust.hk:1783.1-3...
Last time updated on 14/05/2016
Crossref
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info:doi/10.1109%2Fisbi.2010.5...
Last time updated on 21/07/2021