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Automated endocardial boundary detection using dynamic directional gradient vector flow snakes.

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Automated endocardial boundary detection using dynamic directional gradient vector flow snakes.

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Title: Automated endocardial boundary detection using dynamic directional gradient vector flow snakes.
Author: Foo, Say Wei.; Kirthika Mahendran.
Copyright year: 2006
Abstract: 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.
Subject: DRNTU::Engineering::Electrical and electronic engineering.
Type: Conference Paper
Conference name: IEEE International Conference for Biomedical and Pharmaceutical Engineering (2006 : Singapore)
School: School of Electrical and Electronic Engineering
Rights: © 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]
Version: Published version

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