An effective and robust method for modeling multi-furcation liver vessel by using Gap Border Pairing
Highlights • Traditional methods for reconstructing complicated multi-furcation are limited. • Turing points are yield on borders if three branches intersect with each other. • Turning points having anisotropic-opposite relationship exactly make a triangle. • Any border segment can pair one and only...
Gespeichert in:
Veröffentlicht in: | Computerized medical imaging and graphics 2014-09, Vol.38 (6), p.490-507 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 507 |
---|---|
container_issue | 6 |
container_start_page | 490 |
container_title | Computerized medical imaging and graphics |
container_volume | 38 |
creator | Fang, Bin Zhong, Nanchang Wang, Yi Tang, Yuan Yan Zheng, Shenhai Li, Zekun Dong, Jia-hong Zhang, Shao-xiang |
description | Highlights • Traditional methods for reconstructing complicated multi-furcation are limited. • Turing points are yield on borders if three branches intersect with each other. • Turning points having anisotropic-opposite relationship exactly make a triangle. • Any border segment can pair one and only opposite segment. • Topology of refined surface can be re-maintained by checking original vertices. |
doi_str_mv | 10.1016/j.compmedimag.2014.06.020 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1554465995</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S089561111400113X</els_id><sourcerecordid>1554465995</sourcerecordid><originalsourceid>FETCH-LOGICAL-c495t-348b1a7013ec4b40dd8f952f1d50ccf21689377b23a294a354df794e666ad6bb3</originalsourceid><addsrcrecordid>eNqNkluL1DAUgIMo7uzqX5D4IPjSmtOkSfMirIO7CgsKKvgW0lzWjG0zJu3A_HtTZrzgk0-BnO9c-M5B6DmQGgjwV7vaxHE_OhtGfV83BFhNeE0a8gBtoBOyIkLAQ7QhnWwrDgAX6DLnHSEFEfAYXTQtYUJQtkH2esLOe2fmcHBYTxan2C95xqObv0WLfUx4jNYNYbrH4zLMofJLMnoOccJDyUn44HJ2A-6PeMkrdav3-E1MtoQ-6pDK1xP0yOshu6fn9wp9uXn7efuuuvtw-357fVcZJtu5oqzrQQsC1BnWM2Jt52XbeLAtMcY3wDtJhegbqhvJNG2Z9UIyxznXlvc9vUIvT3X3Kf5YXJ7VGLJxw6AnF5esoG0Z462UbUHlCTUp5pycV_tUbKajAqJWyWqn_pKsVsmKcFUMltxn5zZLX-K_M39ZLcCLM6Cz0YNPejIh_-E6QaVseOG2J84VKYfgksomuMmUnqlsRNkY_muc1_9UMWVboTT-7o4u7-KSpmJdgcqNIurTehXrUQAjBIB-pT8B76e14A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1554465995</pqid></control><display><type>article</type><title>An effective and robust method for modeling multi-furcation liver vessel by using Gap Border Pairing</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Fang, Bin ; Zhong, Nanchang ; Wang, Yi ; Tang, Yuan Yan ; Zheng, Shenhai ; Li, Zekun ; Dong, Jia-hong ; Zhang, Shao-xiang</creator><creatorcontrib>Fang, Bin ; Zhong, Nanchang ; Wang, Yi ; Tang, Yuan Yan ; Zheng, Shenhai ; Li, Zekun ; Dong, Jia-hong ; Zhang, Shao-xiang</creatorcontrib><description>Highlights • Traditional methods for reconstructing complicated multi-furcation are limited. • Turing points are yield on borders if three branches intersect with each other. • Turning points having anisotropic-opposite relationship exactly make a triangle. • Any border segment can pair one and only opposite segment. • Topology of refined surface can be re-maintained by checking original vertices.</description><identifier>ISSN: 0895-6111</identifier><identifier>EISSN: 1879-0771</identifier><identifier>DOI: 10.1016/j.compmedimag.2014.06.020</identifier><identifier>PMID: 25047734</identifier><language>eng</language><publisher>New York, NY: Elsevier Ltd</publisher><subject>Applied sciences ; Artificial intelligence ; Biological and medical sciences ; Computer science; control theory; systems ; Digestion. Liver. Biliary tract. Spleen. Pancreas ; Exact sciences and technology ; Gap border pairing ; Hepatic Veins - anatomy & histology ; Hepatic Veins - diagnostic imaging ; Humans ; Image Processing, Computer-Assisted - methods ; Imaging, Three-Dimensional ; Internal Medicine ; Investigative techniques, diagnostic techniques (general aspects) ; Liver - anatomy & histology ; Liver - blood supply ; Liver - diagnostic imaging ; Medical sciences ; Multi-furcation part ; Other ; Pattern recognition. Digital image processing. Computational geometry ; Radiography ; Radionuclide investigations ; Surface topology ; Tree-like skeleton ; Vessel model</subject><ispartof>Computerized medical imaging and graphics, 2014-09, Vol.38 (6), p.490-507</ispartof><rights>Elsevier Ltd</rights><rights>2014 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2014 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c495t-348b1a7013ec4b40dd8f952f1d50ccf21689377b23a294a354df794e666ad6bb3</citedby><cites>FETCH-LOGICAL-c495t-348b1a7013ec4b40dd8f952f1d50ccf21689377b23a294a354df794e666ad6bb3</cites><orcidid>0000-0002-7389-6974</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compmedimag.2014.06.020$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28739926$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25047734$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fang, Bin</creatorcontrib><creatorcontrib>Zhong, Nanchang</creatorcontrib><creatorcontrib>Wang, Yi</creatorcontrib><creatorcontrib>Tang, Yuan Yan</creatorcontrib><creatorcontrib>Zheng, Shenhai</creatorcontrib><creatorcontrib>Li, Zekun</creatorcontrib><creatorcontrib>Dong, Jia-hong</creatorcontrib><creatorcontrib>Zhang, Shao-xiang</creatorcontrib><title>An effective and robust method for modeling multi-furcation liver vessel by using Gap Border Pairing</title><title>Computerized medical imaging and graphics</title><addtitle>Comput Med Imaging Graph</addtitle><description>Highlights • Traditional methods for reconstructing complicated multi-furcation are limited. • Turing points are yield on borders if three branches intersect with each other. • Turning points having anisotropic-opposite relationship exactly make a triangle. • Any border segment can pair one and only opposite segment. • Topology of refined surface can be re-maintained by checking original vertices.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Biological and medical sciences</subject><subject>Computer science; control theory; systems</subject><subject>Digestion. Liver. Biliary tract. Spleen. Pancreas</subject><subject>Exact sciences and technology</subject><subject>Gap border pairing</subject><subject>Hepatic Veins - anatomy & histology</subject><subject>Hepatic Veins - diagnostic imaging</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging, Three-Dimensional</subject><subject>Internal Medicine</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Liver - anatomy & histology</subject><subject>Liver - blood supply</subject><subject>Liver - diagnostic imaging</subject><subject>Medical sciences</subject><subject>Multi-furcation part</subject><subject>Other</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Radiography</subject><subject>Radionuclide investigations</subject><subject>Surface topology</subject><subject>Tree-like skeleton</subject><subject>Vessel model</subject><issn>0895-6111</issn><issn>1879-0771</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkluL1DAUgIMo7uzqX5D4IPjSmtOkSfMirIO7CgsKKvgW0lzWjG0zJu3A_HtTZrzgk0-BnO9c-M5B6DmQGgjwV7vaxHE_OhtGfV83BFhNeE0a8gBtoBOyIkLAQ7QhnWwrDgAX6DLnHSEFEfAYXTQtYUJQtkH2esLOe2fmcHBYTxan2C95xqObv0WLfUx4jNYNYbrH4zLMofJLMnoOccJDyUn44HJ2A-6PeMkrdav3-E1MtoQ-6pDK1xP0yOshu6fn9wp9uXn7efuuuvtw-357fVcZJtu5oqzrQQsC1BnWM2Jt52XbeLAtMcY3wDtJhegbqhvJNG2Z9UIyxznXlvc9vUIvT3X3Kf5YXJ7VGLJxw6AnF5esoG0Z462UbUHlCTUp5pycV_tUbKajAqJWyWqn_pKsVsmKcFUMltxn5zZLX-K_M39ZLcCLM6Cz0YNPejIh_-E6QaVseOG2J84VKYfgksomuMmUnqlsRNkY_muc1_9UMWVboTT-7o4u7-KSpmJdgcqNIurTehXrUQAjBIB-pT8B76e14A</recordid><startdate>20140901</startdate><enddate>20140901</enddate><creator>Fang, Bin</creator><creator>Zhong, Nanchang</creator><creator>Wang, Yi</creator><creator>Tang, Yuan Yan</creator><creator>Zheng, Shenhai</creator><creator>Li, Zekun</creator><creator>Dong, Jia-hong</creator><creator>Zhang, Shao-xiang</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</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><orcidid>https://orcid.org/0000-0002-7389-6974</orcidid></search><sort><creationdate>20140901</creationdate><title>An effective and robust method for modeling multi-furcation liver vessel by using Gap Border Pairing</title><author>Fang, Bin ; Zhong, Nanchang ; Wang, Yi ; Tang, Yuan Yan ; Zheng, Shenhai ; Li, Zekun ; Dong, Jia-hong ; Zhang, Shao-xiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c495t-348b1a7013ec4b40dd8f952f1d50ccf21689377b23a294a354df794e666ad6bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Biological and medical sciences</topic><topic>Computer science; control theory; systems</topic><topic>Digestion. Liver. Biliary tract. Spleen. Pancreas</topic><topic>Exact sciences and technology</topic><topic>Gap border pairing</topic><topic>Hepatic Veins - anatomy & histology</topic><topic>Hepatic Veins - diagnostic imaging</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Imaging, Three-Dimensional</topic><topic>Internal Medicine</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Liver - anatomy & histology</topic><topic>Liver - blood supply</topic><topic>Liver - diagnostic imaging</topic><topic>Medical sciences</topic><topic>Multi-furcation part</topic><topic>Other</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Radiography</topic><topic>Radionuclide investigations</topic><topic>Surface topology</topic><topic>Tree-like skeleton</topic><topic>Vessel model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fang, Bin</creatorcontrib><creatorcontrib>Zhong, Nanchang</creatorcontrib><creatorcontrib>Wang, Yi</creatorcontrib><creatorcontrib>Tang, Yuan Yan</creatorcontrib><creatorcontrib>Zheng, Shenhai</creatorcontrib><creatorcontrib>Li, Zekun</creatorcontrib><creatorcontrib>Dong, Jia-hong</creatorcontrib><creatorcontrib>Zhang, Shao-xiang</creatorcontrib><collection>Pascal-Francis</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><jtitle>Computerized medical imaging and graphics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fang, Bin</au><au>Zhong, Nanchang</au><au>Wang, Yi</au><au>Tang, Yuan Yan</au><au>Zheng, Shenhai</au><au>Li, Zekun</au><au>Dong, Jia-hong</au><au>Zhang, Shao-xiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An effective and robust method for modeling multi-furcation liver vessel by using Gap Border Pairing</atitle><jtitle>Computerized medical imaging and graphics</jtitle><addtitle>Comput Med Imaging Graph</addtitle><date>2014-09-01</date><risdate>2014</risdate><volume>38</volume><issue>6</issue><spage>490</spage><epage>507</epage><pages>490-507</pages><issn>0895-6111</issn><eissn>1879-0771</eissn><abstract>Highlights • Traditional methods for reconstructing complicated multi-furcation are limited. • Turing points are yield on borders if three branches intersect with each other. • Turning points having anisotropic-opposite relationship exactly make a triangle. • Any border segment can pair one and only opposite segment. • Topology of refined surface can be re-maintained by checking original vertices.</abstract><cop>New York, NY</cop><pub>Elsevier Ltd</pub><pmid>25047734</pmid><doi>10.1016/j.compmedimag.2014.06.020</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-7389-6974</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0895-6111 |
ispartof | Computerized medical imaging and graphics, 2014-09, Vol.38 (6), p.490-507 |
issn | 0895-6111 1879-0771 |
language | eng |
recordid | cdi_proquest_miscellaneous_1554465995 |
source | MEDLINE; Access via ScienceDirect (Elsevier) |
subjects | Applied sciences Artificial intelligence Biological and medical sciences Computer science control theory systems Digestion. Liver. Biliary tract. Spleen. Pancreas Exact sciences and technology Gap border pairing Hepatic Veins - anatomy & histology Hepatic Veins - diagnostic imaging Humans Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional Internal Medicine Investigative techniques, diagnostic techniques (general aspects) Liver - anatomy & histology Liver - blood supply Liver - diagnostic imaging Medical sciences Multi-furcation part Other Pattern recognition. Digital image processing. Computational geometry Radiography Radionuclide investigations Surface topology Tree-like skeleton Vessel model |
title | An effective and robust method for modeling multi-furcation liver vessel by using Gap Border Pairing |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T18%3A39%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20effective%20and%20robust%20method%20for%20modeling%20multi-furcation%20liver%20vessel%20by%20using%20Gap%20Border%20Pairing&rft.jtitle=Computerized%20medical%20imaging%20and%20graphics&rft.au=Fang,%20Bin&rft.date=2014-09-01&rft.volume=38&rft.issue=6&rft.spage=490&rft.epage=507&rft.pages=490-507&rft.issn=0895-6111&rft.eissn=1879-0771&rft_id=info:doi/10.1016/j.compmedimag.2014.06.020&rft_dat=%3Cproquest_cross%3E1554465995%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1554465995&rft_id=info:pmid/25047734&rft_els_id=S089561111400113X&rfr_iscdi=true |