A comparison of left ventricular border detection techniques applied to 2D echocardiograms

Detalhes bibliográficos
Autor(a) principal: Wu,Eduardo Jyh Herng
Data de Publicação: 2013
Outros Autores: Nicolosi,Denys E.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Biomédica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512013000300011
Resumo: INTRODUCTION: Cardiology has been one of the most important areas of medicine. For several applications to diagnose the heart functions diseases the measurement of left ventricular (LV) cavity area and LV fractional area change are of vital necessity. To achieve this task, it is necessary to trace the border of left ventricle, which manual tracing is a tedious and time-consuming work. To solve this problem, many techniques to automate this border detection have been developed using the specialist tracing as gold standard. METHODS: The purpose of this approach is to analyze the features of the main techniques applied to left ventricle border detection in medical imaging. To facilitate understanding, the left ventricle border detection techniques are divided into three categories: image-based techniques, model-based techniques and pixel-based techniques. For each of the category, a literature review was made to get examples of the techniques applied to left ventricle border detection and to describe them. The result of this review is a comparative tablewhere the main features of each technique is compared. CONCLUSION: From the comparative table we can conclude that the not mentioning of many features of the techniques by the authors and the lack of a standardization of the evaluation techniques hamper a more satisfactory comparison.
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spelling A comparison of left ventricular border detection techniques applied to 2D echocardiogramsBorder detectionLeft ventricleMedical imagingINTRODUCTION: Cardiology has been one of the most important areas of medicine. For several applications to diagnose the heart functions diseases the measurement of left ventricular (LV) cavity area and LV fractional area change are of vital necessity. To achieve this task, it is necessary to trace the border of left ventricle, which manual tracing is a tedious and time-consuming work. To solve this problem, many techniques to automate this border detection have been developed using the specialist tracing as gold standard. METHODS: The purpose of this approach is to analyze the features of the main techniques applied to left ventricle border detection in medical imaging. To facilitate understanding, the left ventricle border detection techniques are divided into three categories: image-based techniques, model-based techniques and pixel-based techniques. For each of the category, a literature review was made to get examples of the techniques applied to left ventricle border detection and to describe them. The result of this review is a comparative tablewhere the main features of each technique is compared. CONCLUSION: From the comparative table we can conclude that the not mentioning of many features of the techniques by the authors and the lack of a standardization of the evaluation techniques hamper a more satisfactory comparison.SBEB - Sociedade Brasileira de Engenharia Biomédica2013-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512013000300011Revista Brasileira de Engenharia Biomédica v.29 n.3 2013reponame:Revista Brasileira de Engenharia Biomédica (Online)instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)instacron:SBEB10.4322/rbeb.2013.032info:eu-repo/semantics/openAccessWu,Eduardo Jyh HerngNicolosi,Denys E.eng2013-10-28T00:00:00Zoai:scielo:S1517-31512013000300011Revistahttp://www.scielo.br/rbebONGhttps://old.scielo.br/oai/scielo-oai.php||rbeb@rbeb.org.br1984-77421517-3151opendoar:2013-10-28T00:00Revista Brasileira de Engenharia Biomédica (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)false
dc.title.none.fl_str_mv A comparison of left ventricular border detection techniques applied to 2D echocardiograms
title A comparison of left ventricular border detection techniques applied to 2D echocardiograms
spellingShingle A comparison of left ventricular border detection techniques applied to 2D echocardiograms
Wu,Eduardo Jyh Herng
Border detection
Left ventricle
Medical imaging
title_short A comparison of left ventricular border detection techniques applied to 2D echocardiograms
title_full A comparison of left ventricular border detection techniques applied to 2D echocardiograms
title_fullStr A comparison of left ventricular border detection techniques applied to 2D echocardiograms
title_full_unstemmed A comparison of left ventricular border detection techniques applied to 2D echocardiograms
title_sort A comparison of left ventricular border detection techniques applied to 2D echocardiograms
author Wu,Eduardo Jyh Herng
author_facet Wu,Eduardo Jyh Herng
Nicolosi,Denys E.
author_role author
author2 Nicolosi,Denys E.
author2_role author
dc.contributor.author.fl_str_mv Wu,Eduardo Jyh Herng
Nicolosi,Denys E.
dc.subject.por.fl_str_mv Border detection
Left ventricle
Medical imaging
topic Border detection
Left ventricle
Medical imaging
description INTRODUCTION: Cardiology has been one of the most important areas of medicine. For several applications to diagnose the heart functions diseases the measurement of left ventricular (LV) cavity area and LV fractional area change are of vital necessity. To achieve this task, it is necessary to trace the border of left ventricle, which manual tracing is a tedious and time-consuming work. To solve this problem, many techniques to automate this border detection have been developed using the specialist tracing as gold standard. METHODS: The purpose of this approach is to analyze the features of the main techniques applied to left ventricle border detection in medical imaging. To facilitate understanding, the left ventricle border detection techniques are divided into three categories: image-based techniques, model-based techniques and pixel-based techniques. For each of the category, a literature review was made to get examples of the techniques applied to left ventricle border detection and to describe them. The result of this review is a comparative tablewhere the main features of each technique is compared. CONCLUSION: From the comparative table we can conclude that the not mentioning of many features of the techniques by the authors and the lack of a standardization of the evaluation techniques hamper a more satisfactory comparison.
publishDate 2013
dc.date.none.fl_str_mv 2013-09-01
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dc.publisher.none.fl_str_mv SBEB - Sociedade Brasileira de Engenharia Biomédica
publisher.none.fl_str_mv SBEB - Sociedade Brasileira de Engenharia Biomédica
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Biomédica v.29 n.3 2013
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