Approaches to segment stent area from Intravascular Optical Coherence Tomography

Detalhes bibliográficos
Autor(a) principal: Gaiarsa,Veronica Meyer
Data de Publicação: 2017
Outros Autores: Cardenas,Diego, Furuie,Sergio Shiguemi
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research on Biomedical Engineering (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402017000100011
Resumo: Abstract Introduction Cardiovascular diseases (CVD) have been the focus of research in recent years due to its high mortality rate. It is estimated that 17.5 million people died of CVD in 2012, from which 7.4 million were due to coronary heart disease (CHD). In order to monitor CHD patients and avoid waste of specialists' time, this study proposes the development of a method that segments the area contained by stent struts from Frequency Domain Intravascular Optical Coherence Tomography (the latest technology to view vessels internally) of coronary arteries. Methods The novelty of this study is to find areas comprised by stent struts using two optimal strategies that are robust even with false positives and false negatives detection of stent struts. The first one uses an ellipse fitting algorithm and the other uses a cylinder fitting algorithm. Results Both strategies obtained similar accuracy results close to 98% of true positives, but the cylinder technique showed a run time of at least 50 times higher than the ellipse technique. Conclusion The methods were executed on 443 images with different characteristics showing robustness and usefulness in the medical area.
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spelling Approaches to segment stent area from Intravascular Optical Coherence TomographyStentIOCT-FDSegmentationCylinder fittingMoving window iterative ellipsesAbstract Introduction Cardiovascular diseases (CVD) have been the focus of research in recent years due to its high mortality rate. It is estimated that 17.5 million people died of CVD in 2012, from which 7.4 million were due to coronary heart disease (CHD). In order to monitor CHD patients and avoid waste of specialists' time, this study proposes the development of a method that segments the area contained by stent struts from Frequency Domain Intravascular Optical Coherence Tomography (the latest technology to view vessels internally) of coronary arteries. Methods The novelty of this study is to find areas comprised by stent struts using two optimal strategies that are robust even with false positives and false negatives detection of stent struts. The first one uses an ellipse fitting algorithm and the other uses a cylinder fitting algorithm. Results Both strategies obtained similar accuracy results close to 98% of true positives, but the cylinder technique showed a run time of at least 50 times higher than the ellipse technique. Conclusion The methods were executed on 443 images with different characteristics showing robustness and usefulness in the medical area.Sociedade Brasileira de Engenharia Biomédica2017-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402017000100011Research on Biomedical Engineering v.33 n.1 2017reponame:Research on Biomedical Engineering (Online)instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)instacron:SBEB10.1590/2446-4740.03316info:eu-repo/semantics/openAccessGaiarsa,Veronica MeyerCardenas,DiegoFuruie,Sergio Shiguemieng2017-07-04T00:00:00Zoai:scielo:S2446-47402017000100011Revistahttp://www.rbejournal.org/https://old.scielo.br/oai/scielo-oai.php||rbe@rbejournal.org2446-47402446-4732opendoar:2017-07-04T00:00Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)false
dc.title.none.fl_str_mv Approaches to segment stent area from Intravascular Optical Coherence Tomography
title Approaches to segment stent area from Intravascular Optical Coherence Tomography
spellingShingle Approaches to segment stent area from Intravascular Optical Coherence Tomography
Gaiarsa,Veronica Meyer
Stent
IOCT-FD
Segmentation
Cylinder fitting
Moving window iterative ellipses
title_short Approaches to segment stent area from Intravascular Optical Coherence Tomography
title_full Approaches to segment stent area from Intravascular Optical Coherence Tomography
title_fullStr Approaches to segment stent area from Intravascular Optical Coherence Tomography
title_full_unstemmed Approaches to segment stent area from Intravascular Optical Coherence Tomography
title_sort Approaches to segment stent area from Intravascular Optical Coherence Tomography
author Gaiarsa,Veronica Meyer
author_facet Gaiarsa,Veronica Meyer
Cardenas,Diego
Furuie,Sergio Shiguemi
author_role author
author2 Cardenas,Diego
Furuie,Sergio Shiguemi
author2_role author
author
dc.contributor.author.fl_str_mv Gaiarsa,Veronica Meyer
Cardenas,Diego
Furuie,Sergio Shiguemi
dc.subject.por.fl_str_mv Stent
IOCT-FD
Segmentation
Cylinder fitting
Moving window iterative ellipses
topic Stent
IOCT-FD
Segmentation
Cylinder fitting
Moving window iterative ellipses
description Abstract Introduction Cardiovascular diseases (CVD) have been the focus of research in recent years due to its high mortality rate. It is estimated that 17.5 million people died of CVD in 2012, from which 7.4 million were due to coronary heart disease (CHD). In order to monitor CHD patients and avoid waste of specialists' time, this study proposes the development of a method that segments the area contained by stent struts from Frequency Domain Intravascular Optical Coherence Tomography (the latest technology to view vessels internally) of coronary arteries. Methods The novelty of this study is to find areas comprised by stent struts using two optimal strategies that are robust even with false positives and false negatives detection of stent struts. The first one uses an ellipse fitting algorithm and the other uses a cylinder fitting algorithm. Results Both strategies obtained similar accuracy results close to 98% of true positives, but the cylinder technique showed a run time of at least 50 times higher than the ellipse technique. Conclusion The methods were executed on 443 images with different characteristics showing robustness and usefulness in the medical area.
publishDate 2017
dc.date.none.fl_str_mv 2017-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402017000100011
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2446-4740.03316
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Engenharia Biomédica
publisher.none.fl_str_mv Sociedade Brasileira de Engenharia Biomédica
dc.source.none.fl_str_mv Research on Biomedical Engineering v.33 n.1 2017
reponame:Research on Biomedical Engineering (Online)
instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)
instacron:SBEB
instname_str Sociedade Brasileira de Engenharia Biomédica (SBEB)
instacron_str SBEB
institution SBEB
reponame_str Research on Biomedical Engineering (Online)
collection Research on Biomedical Engineering (Online)
repository.name.fl_str_mv Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)
repository.mail.fl_str_mv ||rbe@rbejournal.org
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