Segmentation of left ventricle via level set method based on enriched speed term

Yingge Qu; Qiang Chen; Pheng Ann Heng; Tien-Tsin Wong

doi:10.1007/978-3-540-30135-6_53

Segmentation of left ventricle via level set method based on enriched speed term

Yingge Qu, Qiang Chen, Pheng Ann Heng, Tien-Tsin Wong

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

8 Citations (Scopus)

Abstract

Level set methods have been widely employed in medical image segmentation, and the construction of speed function is vital to segmentation results. In this paper, two ideas for enriching the speed function in level set methods are introduced, based on the problem of segmenting left ventricle from tagged MR image. Firstly, a relaxation factor is introduced, aimed at relaxing the boundary condition when the boundary is unclear or blurred. Secondly, in order to combine visual contents of an image, which reflects human visual response directly, a simple and general model is introduced to endow speed function with more variability and better performance. Promising experimental results in MR images are shown to demonstrate the potentials of our approach.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004
Subtitle of host publication	7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part I
Publisher	Springer
Pages	435-442
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-540-30135-6_53
Publication status	Published - 2004
Externally published	Yes
Event	Medical Image Computing and Computer-Assisted Intervention 2004 - Saint-Malo, France Duration: 26 Sept 2004 → 29 Sept 2004 Conference number: 7th https://link.springer.com/book/10.1007/b100265

Publication series

Name	Lecture Notes in Computer Science
Number	Part 1
Volume	3216
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Medical Image Computing and Computer-Assisted Intervention 2004
Abbreviated title	MICCAI 2004
Country/Territory	France
City	Saint-Malo
Period	26/09/04 → 29/09/04
Internet address	https://link.springer.com/book/10.1007/b100265

Access to Document

10.1007/978-3-540-30135-6_53

Cite this

Qu, Y., Chen, Q., Heng, P. A., & Wong, T.-T. (2004). Segmentation of left ventricle via level set method based on enriched speed term. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004: 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part I (pp. 435-442). (Lecture Notes in Computer Science; Vol. 3216, No. Part 1). Springer. https://doi.org/10.1007/978-3-540-30135-6_53

Qu, Yingge ; Chen, Qiang ; Heng, Pheng Ann et al. / Segmentation of left ventricle via level set method based on enriched speed term. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004: 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part I. Springer, 2004. pp. 435-442 (Lecture Notes in Computer Science; Part 1).

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title = "Segmentation of left ventricle via level set method based on enriched speed term",

abstract = "Level set methods have been widely employed in medical image segmentation, and the construction of speed function is vital to segmentation results. In this paper, two ideas for enriching the speed function in level set methods are introduced, based on the problem of segmenting left ventricle from tagged MR image. Firstly, a relaxation factor is introduced, aimed at relaxing the boundary condition when the boundary is unclear or blurred. Secondly, in order to combine visual contents of an image, which reflects human visual response directly, a simple and general model is introduced to endow speed function with more variability and better performance. Promising experimental results in MR images are shown to demonstrate the potentials of our approach.",

author = "Yingge Qu and Qiang Chen and Heng, {Pheng Ann} and Tien-Tsin Wong",

year = "2004",

doi = "10.1007/978-3-540-30135-6_53",

language = "English",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

number = "Part 1",

pages = "435--442",

booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004",

note = "Medical Image Computing and Computer-Assisted Intervention 2004, MICCAI 2004 ; Conference date: 26-09-2004 Through 29-09-2004",

url = "https://link.springer.com/book/10.1007/b100265",

}

Qu, Y, Chen, Q, Heng, PA & Wong, T-T 2004, Segmentation of left ventricle via level set method based on enriched speed term. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004: 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part I. Lecture Notes in Computer Science, no. Part 1, vol. 3216, Springer, pp. 435-442, Medical Image Computing and Computer-Assisted Intervention 2004, Saint-Malo, France, 26/09/04. https://doi.org/10.1007/978-3-540-30135-6_53

Segmentation of left ventricle via level set method based on enriched speed term. / Qu, Yingge; Chen, Qiang; Heng, Pheng Ann et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004: 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part I. Springer, 2004. p. 435-442 (Lecture Notes in Computer Science; Vol. 3216, No. Part 1).

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

TY - CHAP

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N2 - Level set methods have been widely employed in medical image segmentation, and the construction of speed function is vital to segmentation results. In this paper, two ideas for enriching the speed function in level set methods are introduced, based on the problem of segmenting left ventricle from tagged MR image. Firstly, a relaxation factor is introduced, aimed at relaxing the boundary condition when the boundary is unclear or blurred. Secondly, in order to combine visual contents of an image, which reflects human visual response directly, a simple and general model is introduced to endow speed function with more variability and better performance. Promising experimental results in MR images are shown to demonstrate the potentials of our approach.

AB - Level set methods have been widely employed in medical image segmentation, and the construction of speed function is vital to segmentation results. In this paper, two ideas for enriching the speed function in level set methods are introduced, based on the problem of segmenting left ventricle from tagged MR image. Firstly, a relaxation factor is introduced, aimed at relaxing the boundary condition when the boundary is unclear or blurred. Secondly, in order to combine visual contents of an image, which reflects human visual response directly, a simple and general model is introduced to endow speed function with more variability and better performance. Promising experimental results in MR images are shown to demonstrate the potentials of our approach.

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T3 - Lecture Notes in Computer Science

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BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004

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T2 - Medical Image Computing and Computer-Assisted Intervention 2004

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Qu Y, Chen Q, Heng PA, Wong TT. Segmentation of left ventricle via level set method based on enriched speed term. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004: 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part I. Springer. 2004. p. 435-442. (Lecture Notes in Computer Science; Part 1). doi: 10.1007/978-3-540-30135-6_53

Segmentation of left ventricle via level set method based on enriched speed term

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