Left ventricular segmentation of cardiac magnetic resonance images using a novel edge following technique

This paper presents a novel edge following technique for image segmentation designed to segment the left ventricle in cardiac magnetic resonance (MR) images. This is a required step to determine the volume of left ventricle in a cardiac MR image, which is an essential tool for cardiac diagnosis. The...

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Main Authors: Krit Somkantha, Nipon Theera-Umpon, Sansanee Auephanwiriyakul
Format: Conference Proceeding
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/60267
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-602672018-09-10T03:41:13Z Left ventricular segmentation of cardiac magnetic resonance images using a novel edge following technique Krit Somkantha Nipon Theera-Umpon Sansanee Auephanwiriyakul Computer Science Engineering This paper presents a novel edge following technique for image segmentation designed to segment the left ventricle in cardiac magnetic resonance (MR) images. This is a required step to determine the volume of left ventricle in a cardiac MR image, which is an essential tool for cardiac diagnosis. The traditional method for extracting them from cardiac MR images is by human delineation. This method is accuracy but time consuming. So a new ventricular segmentation technique is proposed in order to reduce the analysis time with similar accuracy level compared to doctors' opinions. Our proposed technique can detect ventricle edges in MR images using the information from the vector image model and the edge map. We also compare the proposed segmentation technique with the active contour model (ACM) and the gradient vector flow (GVF) by using the opinions of two skilled doctors as the ground truth. The experimental results show that our technique is able to provide more accurate segmentation results than the classical contour models and visually close to the manual segmentation by the experts. The results evaluated using a numerical measure by mean of the probability of error in image segmentation also confirm the visual evaluation. © 2008 IEEE. 2018-09-10T03:40:26Z 2018-09-10T03:40:26Z 2008-12-22 Conference Proceeding 2-s2.0-57649177716 10.1109/ICCIS.2008.4670917 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=57649177716&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/60267
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Engineering
spellingShingle Computer Science
Engineering
Krit Somkantha
Nipon Theera-Umpon
Sansanee Auephanwiriyakul
Left ventricular segmentation of cardiac magnetic resonance images using a novel edge following technique
description This paper presents a novel edge following technique for image segmentation designed to segment the left ventricle in cardiac magnetic resonance (MR) images. This is a required step to determine the volume of left ventricle in a cardiac MR image, which is an essential tool for cardiac diagnosis. The traditional method for extracting them from cardiac MR images is by human delineation. This method is accuracy but time consuming. So a new ventricular segmentation technique is proposed in order to reduce the analysis time with similar accuracy level compared to doctors' opinions. Our proposed technique can detect ventricle edges in MR images using the information from the vector image model and the edge map. We also compare the proposed segmentation technique with the active contour model (ACM) and the gradient vector flow (GVF) by using the opinions of two skilled doctors as the ground truth. The experimental results show that our technique is able to provide more accurate segmentation results than the classical contour models and visually close to the manual segmentation by the experts. The results evaluated using a numerical measure by mean of the probability of error in image segmentation also confirm the visual evaluation. © 2008 IEEE.
format Conference Proceeding
author Krit Somkantha
Nipon Theera-Umpon
Sansanee Auephanwiriyakul
author_facet Krit Somkantha
Nipon Theera-Umpon
Sansanee Auephanwiriyakul
author_sort Krit Somkantha
title Left ventricular segmentation of cardiac magnetic resonance images using a novel edge following technique
title_short Left ventricular segmentation of cardiac magnetic resonance images using a novel edge following technique
title_full Left ventricular segmentation of cardiac magnetic resonance images using a novel edge following technique
title_fullStr Left ventricular segmentation of cardiac magnetic resonance images using a novel edge following technique
title_full_unstemmed Left ventricular segmentation of cardiac magnetic resonance images using a novel edge following technique
title_sort left ventricular segmentation of cardiac magnetic resonance images using a novel edge following technique
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=57649177716&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/60267
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