Snake model-based automatic segmentation of the left ventricle from cardiac MR images

Yuwei Wu; Yuanquan Wang; Kun Lu

doi:10.1109/BMEI.2009.5305142

Snake model-based automatic segmentation of the left ventricle from cardiac MR images

Yuwei Wu^*, Yuanquan Wang, Kun Lu

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

An approach based on selective smoothing direction gradient vector flow (SSDGVF) snake model incorporating shape prior is proposed to segment the left ventricle from cardiac MR images in this paper. The originalities of the presented method include SSDGVF algorithm, automatic localization of the cardiac endocardium contour, and elliptic shape constraint. This novel approach can overcome the unexpected local minimum, and conquer the weak boundary leakage in tracking the boundaries of the left ventricle myocardium. Validation is performed on a set of 21 cardiac MR images, and satisfactory segmentation results are obtained.

Original language	English
Title of host publication	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
DOIs	https://doi.org/10.1109/BMEI.2009.5305142
Publication status	Published - 2009
Event	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, China Duration: 17 Oct 2009 → 19 Oct 2009

Publication series

Name	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Conference

Conference	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
Country/Territory	China
City	Tianjin
Period	17/10/09 → 19/10/09

Keywords

Cardiac MR images
GVF
Smooth selective
Snake

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10.1109/BMEI.2009.5305142

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Wu, Y., Wang, Y., & Lu, K. (2009). Snake model-based automatic segmentation of the left ventricle from cardiac MR images. In Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 Article 5305142 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009). https://doi.org/10.1109/BMEI.2009.5305142

@inproceedings{627ef50ebc1745b7a2fe51ca4c7409a8,

title = "Snake model-based automatic segmentation of the left ventricle from cardiac MR images",

abstract = "An approach based on selective smoothing direction gradient vector flow (SSDGVF) snake model incorporating shape prior is proposed to segment the left ventricle from cardiac MR images in this paper. The originalities of the presented method include SSDGVF algorithm, automatic localization of the cardiac endocardium contour, and elliptic shape constraint. This novel approach can overcome the unexpected local minimum, and conquer the weak boundary leakage in tracking the boundaries of the left ventricle myocardium. Validation is performed on a set of 21 cardiac MR images, and satisfactory segmentation results are obtained.",

keywords = "Cardiac MR images, GVF, Smooth selective, Snake",

author = "Yuwei Wu and Yuanquan Wang and Kun Lu",

year = "2009",

doi = "10.1109/BMEI.2009.5305142",

language = "English",

isbn = "9781424441341",

series = "Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009",

booktitle = "Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009",

note = "2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 ; Conference date: 17-10-2009 Through 19-10-2009",

}

Wu, Y, Wang, Y & Lu, K 2009, Snake model-based automatic segmentation of the left ventricle from cardiac MR images. in Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009., 5305142, Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009, Tianjin, China, 17/10/09. https://doi.org/10.1109/BMEI.2009.5305142

Snake model-based automatic segmentation of the left ventricle from cardiac MR images. / Wu, Yuwei; Wang, Yuanquan; Lu, Kun.
Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009. 2009. 5305142 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wang, Yuanquan

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N2 - An approach based on selective smoothing direction gradient vector flow (SSDGVF) snake model incorporating shape prior is proposed to segment the left ventricle from cardiac MR images in this paper. The originalities of the presented method include SSDGVF algorithm, automatic localization of the cardiac endocardium contour, and elliptic shape constraint. This novel approach can overcome the unexpected local minimum, and conquer the weak boundary leakage in tracking the boundaries of the left ventricle myocardium. Validation is performed on a set of 21 cardiac MR images, and satisfactory segmentation results are obtained.

AB - An approach based on selective smoothing direction gradient vector flow (SSDGVF) snake model incorporating shape prior is proposed to segment the left ventricle from cardiac MR images in this paper. The originalities of the presented method include SSDGVF algorithm, automatic localization of the cardiac endocardium contour, and elliptic shape constraint. This novel approach can overcome the unexpected local minimum, and conquer the weak boundary leakage in tracking the boundaries of the left ventricle myocardium. Validation is performed on a set of 21 cardiac MR images, and satisfactory segmentation results are obtained.

KW - Cardiac MR images

KW - GVF

KW - Smooth selective

KW - Snake

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DO - 10.1109/BMEI.2009.5305142

M3 - Conference contribution

AN - SCOPUS:74049118086

SN - 9781424441341

T3 - Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

BT - Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

T2 - 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Y2 - 17 October 2009 through 19 October 2009

ER -

Wu Y, Wang Y, Lu K. Snake model-based automatic segmentation of the left ventricle from cardiac MR images. In Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009. 2009. 5305142. (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009). doi: 10.1109/BMEI.2009.5305142

Snake model-based automatic segmentation of the left ventricle from cardiac MR images

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