Automated endocardial boundary detection using dynamic directional gradient vector flow snakes

Automated endocardial boundary detection using dynamic directional gradient vector flow snakes

The endocardial boundary detection of the left ventricle (LV) of the heart is a valuable diagnostic step to determine the abnormalities of the heart. In this paper, an automated method to obtain the endocardial boundary is proposed. The watershed transformation is performed on the morphological imag...

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Main Authors: Foo, Say Wei, Kirthika Mahendran
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/91591
http://hdl.handle.net/10220/6534
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-915912020-03-07T13:24:46Z Automated endocardial boundary detection using dynamic directional gradient vector flow snakes Foo, Say Wei Kirthika Mahendran School of Electrical and Electronic Engineering IEEE International Conference for Biomedical and Pharmaceutical Engineering (2006 : Singapore) DRNTU::Engineering::Electrical and electronic engineering The endocardial boundary detection of the left ventricle (LV) of the heart is a valuable diagnostic step to determine the abnormalities of the heart. In this paper, an automated method to obtain the endocardial boundary is proposed. The watershed transformation is performed on the morphological image to localize the region contained the LV (ROI). The DDGVF field is then utilized dynamically to deform the snake into the endocardial boundary of the LV. Published version 2011-01-12T07:06:28Z 2019-12-06T18:08:30Z 2011-01-12T07:06:28Z 2019-12-06T18:08:30Z 2006 2006 Conference Paper Foo, S. W., & Kirthika, M. (2006). Automated Endocardial Boundary Detection using Dynamic Directional Gradient Vector Flow Snakes. IEEE International Conference for Biomedical and Pharmaceutical Engineering, pp.62-66. https://hdl.handle.net/10356/91591 http://hdl.handle.net/10220/6534 10.1109/ICBPE.2006.348555 en © 2006 by Research Publishing Services. Self-archiving policy of IEEE is followed. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4155864] 5 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Foo, Say Wei
Kirthika Mahendran
Automated endocardial boundary detection using dynamic directional gradient vector flow snakes
description The endocardial boundary detection of the left ventricle (LV) of the heart is a valuable diagnostic step to determine the abnormalities of the heart. In this paper, an automated method to obtain the endocardial boundary is proposed. The watershed transformation is performed on the morphological image to localize the region contained the LV (ROI). The DDGVF field is then utilized dynamically to deform the snake into the endocardial boundary of the LV.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Foo, Say Wei
Kirthika Mahendran
format Conference or Workshop Item
author Foo, Say Wei
Kirthika Mahendran
author_sort Foo, Say Wei
title Automated endocardial boundary detection using dynamic directional gradient vector flow snakes
title_short Automated endocardial boundary detection using dynamic directional gradient vector flow snakes
title_full Automated endocardial boundary detection using dynamic directional gradient vector flow snakes
title_fullStr Automated endocardial boundary detection using dynamic directional gradient vector flow snakes
title_full_unstemmed Automated endocardial boundary detection using dynamic directional gradient vector flow snakes
title_sort automated endocardial boundary detection using dynamic directional gradient vector flow snakes
publishDate 2011
url https://hdl.handle.net/10356/91591
http://hdl.handle.net/10220/6534
_version_ 1681036534108651520

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