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...
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Veröffentlicht in: | Computational and mathematical methods in medicine 2013-01, Vol.2013 (2013), p.1-8 |
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creator | Lin, XiangBo Ruan, Su Qiu, Tianshuang Guo, DongMei |
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. |
doi_str_mv | 10.1155/2013/373082 |
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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.</description><identifier>ISSN: 1748-670X</identifier><identifier>EISSN: 1748-6718</identifier><identifier>DOI: 10.1155/2013/373082</identifier><identifier>PMID: 23424604</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Algorithms ; Brain - pathology ; Brain Mapping - methods ; Computer Simulation ; Humans ; Image Processing, Computer-Assisted ; Imaging, Three-Dimensional - methods ; Magnetic Resonance Imaging - methods ; Models, Statistical ; Protein Conformation ; Reproducibility of Results ; Software ; Subtraction Technique</subject><ispartof>Computational and mathematical methods in medicine, 2013-01, Vol.2013 (2013), p.1-8</ispartof><rights>Copyright © 2013 XiangBo Lin et al.</rights><rights>Copyright © 2013 XiangBo Lin et al. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-754063352c48ea89cf2f68615384f6b65973bb13966c8891828c78590f8addea3</citedby><cites>FETCH-LOGICAL-c438t-754063352c48ea89cf2f68615384f6b65973bb13966c8891828c78590f8addea3</cites><orcidid>0000-0001-8785-6917 ; 0000-0001-7232-9479</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574660/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574660/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23424604$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Feng, Peng</contributor><creatorcontrib>Lin, XiangBo</creatorcontrib><creatorcontrib>Ruan, Su</creatorcontrib><creatorcontrib>Qiu, Tianshuang</creatorcontrib><creatorcontrib>Guo, DongMei</creatorcontrib><title>Nonrigid Medical Image Registration Based on Mesh Deformation Constraints</title><title>Computational and mathematical methods in medicine</title><addtitle>Comput Math Methods Med</addtitle><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.</description><subject>Algorithms</subject><subject>Brain - pathology</subject><subject>Brain Mapping - methods</subject><subject>Computer Simulation</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Models, Statistical</subject><subject>Protein Conformation</subject><subject>Reproducibility of Results</subject><subject>Software</subject><subject>Subtraction Technique</subject><issn>1748-670X</issn><issn>1748-6718</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><recordid>eNqF0M1LwzAYBvAgipvTk2elR1Hm8t30Iuj8GmwKouAtZOnbLdI2s-kU_3s7OoeePOWF98eT5EHokOBzQoQYUEzYgMUMK7qFuiTmqi9jorY3M37toL0Q3jAWJBZkF3Uo45RLzLto9ODLys1cGk0gddbk0agwM4ieYOZCXZna-TK6MgHSqBkmEObRNWS-KtrN0Jcr5co67KOdzOQBDtZnD73c3jwP7_vjx7vR8HLct5ypuh8LjiVjglquwKjEZjSTShLBFM_kVIokZtMpYYmUVqmEKKpsrESCM2XSFAzroYs2d7GcFpBaKJsH5HpRucJUX9obp_9uSjfXM_-hmYi5lLgJOFkHVP59CaHWhQsW8tyU4JdBE5oQkQhGRUPPWmorH0IF2eYagvWqfL0qX7flN_r498s29qftBpy2YO7K1Hy6f9KOWgwNgcxscPOJBDP2DckWlUg</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Lin, XiangBo</creator><creator>Ruan, Su</creator><creator>Qiu, Tianshuang</creator><creator>Guo, DongMei</creator><general>Hindawi Puplishing Corporation</general><general>Hindawi Publishing Corporation</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8785-6917</orcidid><orcidid>https://orcid.org/0000-0001-7232-9479</orcidid></search><sort><creationdate>20130101</creationdate><title>Nonrigid Medical Image Registration Based on Mesh Deformation Constraints</title><author>Lin, XiangBo ; Ruan, Su ; Qiu, Tianshuang ; Guo, DongMei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-754063352c48ea89cf2f68615384f6b65973bb13966c8891828c78590f8addea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Brain - pathology</topic><topic>Brain Mapping - methods</topic><topic>Computer Simulation</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Models, Statistical</topic><topic>Protein Conformation</topic><topic>Reproducibility of Results</topic><topic>Software</topic><topic>Subtraction Technique</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, XiangBo</creatorcontrib><creatorcontrib>Ruan, Su</creatorcontrib><creatorcontrib>Qiu, Tianshuang</creatorcontrib><creatorcontrib>Guo, DongMei</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Computational and mathematical methods in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, XiangBo</au><au>Ruan, Su</au><au>Qiu, Tianshuang</au><au>Guo, DongMei</au><au>Feng, Peng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nonrigid Medical Image Registration Based on Mesh Deformation Constraints</atitle><jtitle>Computational and mathematical methods in medicine</jtitle><addtitle>Comput Math Methods Med</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>2013</volume><issue>2013</issue><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>1748-670X</issn><eissn>1748-6718</eissn><abstract>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.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Puplishing Corporation</pub><pmid>23424604</pmid><doi>10.1155/2013/373082</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-8785-6917</orcidid><orcidid>https://orcid.org/0000-0001-7232-9479</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Brain - pathology Brain Mapping - methods Computer Simulation Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional - methods Magnetic Resonance Imaging - methods Models, Statistical Protein Conformation Reproducibility of Results Software Subtraction Technique |
title | Nonrigid Medical Image Registration Based on Mesh Deformation Constraints |
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