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Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours
Segmentation of left and right ventricles plays a crucial role in quantitatively analyzing the global and regional information in the cardiac magnetic resonance imaging (MRI). In MRI, the intensity inhomogeneity and weak or blurred object boundaries are the problems, which makes it difficult for the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591936/ https://www.ncbi.nlm.nih.gov/pubmed/28928796 http://dx.doi.org/10.1155/2017/8350680 |
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author | Soomro, Shafiullah Akram, Farhan Munir, Asad Lee, Chang Ha Choi, Kwang Nam |
author_facet | Soomro, Shafiullah Akram, Farhan Munir, Asad Lee, Chang Ha Choi, Kwang Nam |
author_sort | Soomro, Shafiullah |
collection | PubMed |
description | Segmentation of left and right ventricles plays a crucial role in quantitatively analyzing the global and regional information in the cardiac magnetic resonance imaging (MRI). In MRI, the intensity inhomogeneity and weak or blurred object boundaries are the problems, which makes it difficult for the intensity-based segmentation methods to properly delineate the regions of interests (ROI). In this paper, a hybrid signed pressure force function (SPF) is proposed, which yields both local and global image fitted differences in an additive fashion. A characteristic term is also introduced in the SPF function to restrict the contour within the ROI. The overlapping dice index and Hausdorff-Distance metrics have been used over cardiac datasets for quantitative validation. Using 2009 LV MICCAI validation dataset, the proposed method yields DSC values of 0.95 and 0.97 for endocardial and epicardial contours, respectively. Using 2012 RV MICCAI dataset, for the endocardial region, the proposed method yields DSC values of 0.97 and 0.90 and HD values of 8.51 and 7.67 for ED and ES, respectively. For the epicardial region, it yields DSC values of 0.92 and 0.91 and HD values of 6.47 and 9.34 for ED and ES, respectively. Results show its robustness in the segmentation application of the cardiac MRI. |
format | Online Article Text |
id | pubmed-5591936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-55919362017-09-19 Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours Soomro, Shafiullah Akram, Farhan Munir, Asad Lee, Chang Ha Choi, Kwang Nam Comput Math Methods Med Research Article Segmentation of left and right ventricles plays a crucial role in quantitatively analyzing the global and regional information in the cardiac magnetic resonance imaging (MRI). In MRI, the intensity inhomogeneity and weak or blurred object boundaries are the problems, which makes it difficult for the intensity-based segmentation methods to properly delineate the regions of interests (ROI). In this paper, a hybrid signed pressure force function (SPF) is proposed, which yields both local and global image fitted differences in an additive fashion. A characteristic term is also introduced in the SPF function to restrict the contour within the ROI. The overlapping dice index and Hausdorff-Distance metrics have been used over cardiac datasets for quantitative validation. Using 2009 LV MICCAI validation dataset, the proposed method yields DSC values of 0.95 and 0.97 for endocardial and epicardial contours, respectively. Using 2012 RV MICCAI dataset, for the endocardial region, the proposed method yields DSC values of 0.97 and 0.90 and HD values of 8.51 and 7.67 for ED and ES, respectively. For the epicardial region, it yields DSC values of 0.92 and 0.91 and HD values of 6.47 and 9.34 for ED and ES, respectively. Results show its robustness in the segmentation application of the cardiac MRI. Hindawi 2017 2017-08-08 /pmc/articles/PMC5591936/ /pubmed/28928796 http://dx.doi.org/10.1155/2017/8350680 Text en Copyright © 2017 Shafiullah Soomro et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Soomro, Shafiullah Akram, Farhan Munir, Asad Lee, Chang Ha Choi, Kwang Nam Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours |
title | Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours |
title_full | Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours |
title_fullStr | Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours |
title_full_unstemmed | Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours |
title_short | Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours |
title_sort | segmentation of left and right ventricles in cardiac mri using active contours |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591936/ https://www.ncbi.nlm.nih.gov/pubmed/28928796 http://dx.doi.org/10.1155/2017/8350680 |
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