Total Variation Regularization of Matrix-Valued Images

We generalize the total variation restoration model, introduced by Rudin, Osher, and Fatemi in 1992, to matrix-valued data, in particular, to diffusion tensor images (DTIs). Our model is a natural extension of the color total variation model proposed by Blomgren and Chan in 1998. We treat the diffus...

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Main Authors: Oddvar Christiansen, Tin-Man Lee, Johan Lie, Usha Sinha, Tony F. Chan
Format: Article
Language:English
Published: Wiley 2007-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2007/27432
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author Oddvar Christiansen
Tin-Man Lee
Johan Lie
Usha Sinha
Tony F. Chan
author_facet Oddvar Christiansen
Tin-Man Lee
Johan Lie
Usha Sinha
Tony F. Chan
author_sort Oddvar Christiansen
collection DOAJ
description We generalize the total variation restoration model, introduced by Rudin, Osher, and Fatemi in 1992, to matrix-valued data, in particular, to diffusion tensor images (DTIs). Our model is a natural extension of the color total variation model proposed by Blomgren and Chan in 1998. We treat the diffusion matrix D implicitly as the product D=LLT, and work with the elements of L as variables, instead of working directly on the elements of D. This ensures positive definiteness of the tensor during the regularization flow, which is essential when regularizing DTI. We perform numerical experiments on both synthetical data and 3D human brain DTI, and measure the quantitative behavior of the proposed model.
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issn 1687-4188
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publishDate 2007-01-01
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series International Journal of Biomedical Imaging
spelling doaj-art-8bf7ec7b1b8041ac826144f1cc73cb5f2025-02-03T06:00:18ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962007-01-01200710.1155/2007/2743227432Total Variation Regularization of Matrix-Valued ImagesOddvar Christiansen0Tin-Man Lee1Johan Lie2Usha Sinha3Tony F. Chan4Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Bergen, Bergen 5008, NorwayMedical Imaging Informatics Group, Department of Radiological Sciences, University of California, Los Angeles, 90024, CA, USADepartment of Mathematics, Faculty of Mathematics and Natural Sciences, University of Bergen, Bergen 5008, NorwayMedical Imaging Informatics Group, Department of Radiological Sciences, University of California, Los Angeles, 90024, CA, USADivision of Physical Sciences, College of letters science, University of California, Los Angeles, 90095, CA, USAWe generalize the total variation restoration model, introduced by Rudin, Osher, and Fatemi in 1992, to matrix-valued data, in particular, to diffusion tensor images (DTIs). Our model is a natural extension of the color total variation model proposed by Blomgren and Chan in 1998. We treat the diffusion matrix D implicitly as the product D=LLT, and work with the elements of L as variables, instead of working directly on the elements of D. This ensures positive definiteness of the tensor during the regularization flow, which is essential when regularizing DTI. We perform numerical experiments on both synthetical data and 3D human brain DTI, and measure the quantitative behavior of the proposed model.http://dx.doi.org/10.1155/2007/27432
spellingShingle Oddvar Christiansen
Tin-Man Lee
Johan Lie
Usha Sinha
Tony F. Chan
Total Variation Regularization of Matrix-Valued Images
International Journal of Biomedical Imaging
title Total Variation Regularization of Matrix-Valued Images
title_full Total Variation Regularization of Matrix-Valued Images
title_fullStr Total Variation Regularization of Matrix-Valued Images
title_full_unstemmed Total Variation Regularization of Matrix-Valued Images
title_short Total Variation Regularization of Matrix-Valued Images
title_sort total variation regularization of matrix valued images
url http://dx.doi.org/10.1155/2007/27432
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AT tinmanlee totalvariationregularizationofmatrixvaluedimages
AT johanlie totalvariationregularizationofmatrixvaluedimages
AT ushasinha totalvariationregularizationofmatrixvaluedimages
AT tonyfchan totalvariationregularizationofmatrixvaluedimages