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Nonrigid Medical Image Registration Based on Mesh Deformation Constraints
Regularizing the deformation field is an important aspect in nonrigid medical image registration. By covering the template image with a triangular mesh, this paper proposes a new regularization constraint in terms of connections between mesh vertices. The connection relationship is preserved by the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574660/ https://www.ncbi.nlm.nih.gov/pubmed/23424604 http://dx.doi.org/10.1155/2013/373082 |
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author | Lin, XiangBo Ruan, Su Qiu, TianShuang Guo, DongMei |
author_facet | Lin, XiangBo Ruan, Su Qiu, TianShuang Guo, DongMei |
author_sort | Lin, XiangBo |
collection | PubMed |
description | Regularizing the deformation field is an important aspect in nonrigid medical image registration. By covering the template image with a triangular mesh, this paper proposes a new regularization constraint in terms of connections between mesh vertices. The connection relationship is preserved by the spring analogy method. The method is evaluated by registering cerebral magnetic resonance imaging (MRI) image data obtained from different individuals. Experimental results show that the proposed method has good deformation ability and topology-preserving ability, providing a new way to the nonrigid medical image registration. |
format | Online Article Text |
id | pubmed-3574660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-35746602013-02-19 Nonrigid Medical Image Registration Based on Mesh Deformation Constraints Lin, XiangBo Ruan, Su Qiu, TianShuang Guo, DongMei Comput Math Methods Med Research Article Regularizing the deformation field is an important aspect in nonrigid medical image registration. By covering the template image with a triangular mesh, this paper proposes a new regularization constraint in terms of connections between mesh vertices. The connection relationship is preserved by the spring analogy method. The method is evaluated by registering cerebral magnetic resonance imaging (MRI) image data obtained from different individuals. Experimental results show that the proposed method has good deformation ability and topology-preserving ability, providing a new way to the nonrigid medical image registration. Hindawi Publishing Corporation 2013 2013-02-03 /pmc/articles/PMC3574660/ /pubmed/23424604 http://dx.doi.org/10.1155/2013/373082 Text en Copyright © 2013 XiangBo Lin et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lin, XiangBo Ruan, Su Qiu, TianShuang Guo, DongMei Nonrigid Medical Image Registration Based on Mesh Deformation Constraints |
title | Nonrigid Medical Image Registration Based on Mesh Deformation Constraints |
title_full | Nonrigid Medical Image Registration Based on Mesh Deformation Constraints |
title_fullStr | Nonrigid Medical Image Registration Based on Mesh Deformation Constraints |
title_full_unstemmed | Nonrigid Medical Image Registration Based on Mesh Deformation Constraints |
title_short | Nonrigid Medical Image Registration Based on Mesh Deformation Constraints |
title_sort | nonrigid medical image registration based on mesh deformation constraints |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574660/ https://www.ncbi.nlm.nih.gov/pubmed/23424604 http://dx.doi.org/10.1155/2013/373082 |
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