An accelerated binary segmentation of brain vasculature using MRF model

J. T. Hao; M. L. Li; F. L. Tang

doi:10.1109/ICCIAS.2006.295379

An accelerated binary segmentation of brain vasculature using MRF model

J. T. Hao^*, M. L. Li, F. L. Tang

^*Corresponding author for this work

Shanghai Jiao Tong University

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

1 Scopus citations

Abstract

In this paper, we present an approach to segment the brain vasculature in time-of-flight magnetic resonance angiography (TOF-MRA)An accelerated ICM algorithm has been proposed which is based on the observation that the vessel occupies about 5% of the intracranial volume. Experimental results show that the proposed model provides good quality of segmentation and can obviously increase segmentation speed.

Original language	English
Title of host publication	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Publisher	IEEE Computer Society
Pages	1825-1828
Number of pages	4
ISBN (Print)	1424406056, 9781424406050
DOIs	https://doi.org/10.1109/ICCIAS.2006.295379
State	Published - 2006
Externally published	Yes
Event	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 - Guangzhou, China Duration: 3 Oct 2006 → 6 Oct 2006

Publication series

Name	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Volume	2

Conference

Conference	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Country/Territory	China
City	Guangzhou
Period	3/10/06 → 6/10/06

Access to Document

10.1109/ICCIAS.2006.295379

Cite this

Hao, J. T., Li, M. L., & Tang, F. L. (2006). An accelerated binary segmentation of brain vasculature using MRF model. In 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 (pp. 1825-1828). Article 4076285 (2006 International Conference on Computational Intelligence and Security, ICCIAS 2006; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ICCIAS.2006.295379

@inproceedings{7a92c563cb094d039fc123c110cd511f,

title = "An accelerated binary segmentation of brain vasculature using MRF model",

abstract = "In this paper, we present an approach to segment the brain vasculature in time-of-flight magnetic resonance angiography (TOF-MRA)An accelerated ICM algorithm has been proposed which is based on the observation that the vessel occupies about 5\% of the intracranial volume. Experimental results show that the proposed model provides good quality of segmentation and can obviously increase segmentation speed.",

author = "Hao, \{J. T.\} and Li, \{M. L.\} and Tang, \{F. L.\}",

year = "2006",

doi = "10.1109/ICCIAS.2006.295379",

language = "英语",

isbn = "1424406056",

series = "2006 International Conference on Computational Intelligence and Security, ICCIAS 2006",

publisher = "IEEE Computer Society",

pages = "1825--1828",

booktitle = "2006 International Conference on Computational Intelligence and Security, ICCIAS 2006",

address = "美国",

note = "2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 ; Conference date: 03-10-2006 Through 06-10-2006",

}

Hao, JT, Li, ML & Tang, FL 2006, An accelerated binary segmentation of brain vasculature using MRF model. in 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006., 4076285, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006, vol. 2, IEEE Computer Society, pp. 1825-1828, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006, Guangzhou, China, 3/10/06. https://doi.org/10.1109/ICCIAS.2006.295379

An accelerated binary segmentation of brain vasculature using MRF model. / Hao, J. T.; Li, M. L.; Tang, F. L.
2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. IEEE Computer Society, 2006. p. 1825-1828 4076285 (2006 International Conference on Computational Intelligence and Security, ICCIAS 2006; Vol. 2).

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

TY - GEN

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AU - Li, M. L.

AU - Tang, F. L.

PY - 2006

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AB - In this paper, we present an approach to segment the brain vasculature in time-of-flight magnetic resonance angiography (TOF-MRA)An accelerated ICM algorithm has been proposed which is based on the observation that the vessel occupies about 5% of the intracranial volume. Experimental results show that the proposed model provides good quality of segmentation and can obviously increase segmentation speed.

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DO - 10.1109/ICCIAS.2006.295379

M3 - 会议稿件

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SN - 9781424406050

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BT - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006

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T2 - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006

Y2 - 3 October 2006 through 6 October 2006

ER -

An accelerated binary segmentation of brain vasculature using MRF model

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