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3D assessment of stent cell size and side branch access in intravascular optical coherence tomographic pullback runs
Abstract We present a semi-automatic approach to assess the maximum circular unsupported surface area (MCUSA) of selected stent cells and the side branch access through stent cells in intravascular optical coherence tomography (IVOCT) pullback runs. Such 3D information may influence coronary interve...
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Published in: | Computerized medical imaging and graphics 2014-03, Vol.38 (2), p.113-122 |
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creator | Wang, Ancong Eggermont, Jeroen Dekker, Niels de Koning, Patrick J.H Reiber, Johan H.C Dijkstra, Jouke |
description | Abstract We present a semi-automatic approach to assess the maximum circular unsupported surface area (MCUSA) of selected stent cells and the side branch access through stent cells in intravascular optical coherence tomography (IVOCT) pullback runs. Such 3D information may influence coronary interventions, stent design, blood flow analysis or prognostic evaluation. First, the stent struts are detected automatically and stent cells are reconstructed with users’ assistance. Using cylinder fitting, a 2D approximation of the stent cell is generated for MCUSA detection and measurement. Next, a stent surface is reconstructed and stent-covered side branches are detected. Both the stent cell contours and side branch lumen contours are projected onto the stent surface to indicate their areas, and the overlapping regions are measured as the side branch access through these stent cells. The method was evaluated on phantom data sets and the accuracy of the MCUSA and side branch access was found to be 95% and 91%, respectively. The usability of this approach for clinical research was proved on 12 in vivo IVOCT pullback runs. |
doi_str_mv | 10.1016/j.compmedimag.2013.08.007 |
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Such 3D information may influence coronary interventions, stent design, blood flow analysis or prognostic evaluation. First, the stent struts are detected automatically and stent cells are reconstructed with users’ assistance. Using cylinder fitting, a 2D approximation of the stent cell is generated for MCUSA detection and measurement. Next, a stent surface is reconstructed and stent-covered side branches are detected. Both the stent cell contours and side branch lumen contours are projected onto the stent surface to indicate their areas, and the overlapping regions are measured as the side branch access through these stent cells. The method was evaluated on phantom data sets and the accuracy of the MCUSA and side branch access was found to be 95% and 91%, respectively. The usability of this approach for clinical research was proved on 12 in vivo IVOCT pullback runs.</description><identifier>ISSN: 0895-6111</identifier><identifier>EISSN: 1879-0771</identifier><identifier>DOI: 10.1016/j.compmedimag.2013.08.007</identifier><identifier>PMID: 24070672</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>3D stent cell ; Coronary Artery Disease - pathology ; Coronary Artery Disease - surgery ; Equipment Failure Analysis ; Humans ; Image Interpretation, Computer-Assisted - methods ; Imaging, Three-Dimensional - methods ; Internal Medicine ; MCUSA ; Optical coherence tomography ; Other ; Prosthesis Implantation - methods ; Reproducibility of Results ; Sensitivity and Specificity ; Side branch access ; Stent surface reconstruction ; Surgery, Computer-Assisted - methods ; Tomography, Optical Coherence - methods ; Treatment Outcome</subject><ispartof>Computerized medical imaging and graphics, 2014-03, Vol.38 (2), p.113-122</ispartof><rights>Elsevier Ltd</rights><rights>2013 Elsevier Ltd</rights><rights>Copyright © 2013 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c465t-8ca92609b66cda36b0f848a486a2f974b2b711c83f29e0a1d19217bd077889013</citedby><cites>FETCH-LOGICAL-c465t-8ca92609b66cda36b0f848a486a2f974b2b711c83f29e0a1d19217bd077889013</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24070672$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Ancong</creatorcontrib><creatorcontrib>Eggermont, Jeroen</creatorcontrib><creatorcontrib>Dekker, Niels</creatorcontrib><creatorcontrib>de Koning, Patrick J.H</creatorcontrib><creatorcontrib>Reiber, Johan H.C</creatorcontrib><creatorcontrib>Dijkstra, Jouke</creatorcontrib><title>3D assessment of stent cell size and side branch access in intravascular optical coherence tomographic pullback runs</title><title>Computerized medical imaging and graphics</title><addtitle>Comput Med Imaging Graph</addtitle><description>Abstract We present a semi-automatic approach to assess the maximum circular unsupported surface area (MCUSA) of selected stent cells and the side branch access through stent cells in intravascular optical coherence tomography (IVOCT) pullback runs. Such 3D information may influence coronary interventions, stent design, blood flow analysis or prognostic evaluation. First, the stent struts are detected automatically and stent cells are reconstructed with users’ assistance. Using cylinder fitting, a 2D approximation of the stent cell is generated for MCUSA detection and measurement. Next, a stent surface is reconstructed and stent-covered side branches are detected. Both the stent cell contours and side branch lumen contours are projected onto the stent surface to indicate their areas, and the overlapping regions are measured as the side branch access through these stent cells. The method was evaluated on phantom data sets and the accuracy of the MCUSA and side branch access was found to be 95% and 91%, respectively. The usability of this approach for clinical research was proved on 12 in vivo IVOCT pullback runs.</description><subject>3D stent cell</subject><subject>Coronary Artery Disease - pathology</subject><subject>Coronary Artery Disease - surgery</subject><subject>Equipment Failure Analysis</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Internal Medicine</subject><subject>MCUSA</subject><subject>Optical coherence tomography</subject><subject>Other</subject><subject>Prosthesis Implantation - methods</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Side branch access</subject><subject>Stent surface reconstruction</subject><subject>Surgery, Computer-Assisted - methods</subject><subject>Tomography, Optical Coherence - methods</subject><subject>Treatment Outcome</subject><issn>0895-6111</issn><issn>1879-0771</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqNkl2L1TAQhoMo7nH1L0i886Z1Ju3Jx40gx09Y8EK9Dmma7snZNqlJu7D-elPOKuKNQiADeWcm8z5DyAuEGgH5q1Nt4zRPrveTua4ZYFODrAHEA7JDKVQFQuBDsgOp9hVHxAvyJOcTADAQ-JhcsBYEcMF2ZGneUpOzy3lyYaFxoHnZAuvGkWb_w1ET-hL0jnbJBHukxtqipj6UsyRza7JdR5NonBdvzUhtPLrkgnV0iVO8TmY-ekvndRw7Y29oWkN-Sh4NZszu2f19Sb69f_f18LG6-vzh0-HNVWVbvl8qaY1iHFTHue1NwzsYZCtNK7lhgxJtxzqBaGUzMOXAYI-Koej6Mr2UqrhySV6e684pfl9dXvTk8zaZCS6uWeMeudgDKPFvaasUtihBFak6S22KOSc36DkVEOlOI-iNjz7pP_jojY8GqQufkvv8vs3alfffmb-AFMHhLHDFl1vvks7Wb272Pjm76D76_2rz-q8qdvRhw3Pj7lw-xTWFYrxGnZkG_WVblG1PsAHA8pXmJ4EIvI8</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>Wang, Ancong</creator><creator>Eggermont, Jeroen</creator><creator>Dekker, Niels</creator><creator>de Koning, Patrick J.H</creator><creator>Reiber, Johan H.C</creator><creator>Dijkstra, Jouke</creator><general>Elsevier Ltd</general><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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20140301</creationdate><title>3D assessment of stent cell size and side branch access in intravascular optical coherence tomographic pullback runs</title><author>Wang, Ancong ; Eggermont, Jeroen ; Dekker, Niels ; de Koning, Patrick J.H ; Reiber, Johan H.C ; Dijkstra, Jouke</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c465t-8ca92609b66cda36b0f848a486a2f974b2b711c83f29e0a1d19217bd077889013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>3D stent cell</topic><topic>Coronary Artery Disease - pathology</topic><topic>Coronary Artery Disease - surgery</topic><topic>Equipment Failure Analysis</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Internal Medicine</topic><topic>MCUSA</topic><topic>Optical coherence tomography</topic><topic>Other</topic><topic>Prosthesis Implantation - methods</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Side branch access</topic><topic>Stent surface reconstruction</topic><topic>Surgery, Computer-Assisted - methods</topic><topic>Tomography, Optical Coherence - methods</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Ancong</creatorcontrib><creatorcontrib>Eggermont, Jeroen</creatorcontrib><creatorcontrib>Dekker, Niels</creatorcontrib><creatorcontrib>de Koning, Patrick J.H</creatorcontrib><creatorcontrib>Reiber, Johan H.C</creatorcontrib><creatorcontrib>Dijkstra, Jouke</creatorcontrib><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>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Computerized medical imaging and graphics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Ancong</au><au>Eggermont, Jeroen</au><au>Dekker, Niels</au><au>de Koning, Patrick J.H</au><au>Reiber, Johan H.C</au><au>Dijkstra, Jouke</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>3D assessment of stent cell size and side branch access in intravascular optical coherence tomographic pullback runs</atitle><jtitle>Computerized medical imaging and graphics</jtitle><addtitle>Comput Med Imaging Graph</addtitle><date>2014-03-01</date><risdate>2014</risdate><volume>38</volume><issue>2</issue><spage>113</spage><epage>122</epage><pages>113-122</pages><issn>0895-6111</issn><eissn>1879-0771</eissn><abstract>Abstract We present a semi-automatic approach to assess the maximum circular unsupported surface area (MCUSA) of selected stent cells and the side branch access through stent cells in intravascular optical coherence tomography (IVOCT) pullback runs. Such 3D information may influence coronary interventions, stent design, blood flow analysis or prognostic evaluation. First, the stent struts are detected automatically and stent cells are reconstructed with users’ assistance. Using cylinder fitting, a 2D approximation of the stent cell is generated for MCUSA detection and measurement. Next, a stent surface is reconstructed and stent-covered side branches are detected. Both the stent cell contours and side branch lumen contours are projected onto the stent surface to indicate their areas, and the overlapping regions are measured as the side branch access through these stent cells. The method was evaluated on phantom data sets and the accuracy of the MCUSA and side branch access was found to be 95% and 91%, respectively. The usability of this approach for clinical research was proved on 12 in vivo IVOCT pullback runs.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>24070672</pmid><doi>10.1016/j.compmedimag.2013.08.007</doi><tpages>10</tpages></addata></record> |
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subjects | 3D stent cell Coronary Artery Disease - pathology Coronary Artery Disease - surgery Equipment Failure Analysis Humans Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Internal Medicine MCUSA Optical coherence tomography Other Prosthesis Implantation - methods Reproducibility of Results Sensitivity and Specificity Side branch access Stent surface reconstruction Surgery, Computer-Assisted - methods Tomography, Optical Coherence - methods Treatment Outcome |
title | 3D assessment of stent cell size and side branch access in intravascular optical coherence tomographic pullback runs |
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