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

^*此作品的通讯作者

Shanghai Jiao Tong University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
出版商	IEEE Computer Society
页	1825-1828
页数	4
ISBN（印刷版）	1424406056, 9781424406050
DOI	https://doi.org/10.1109/ICCIAS.2006.295379
出版状态	已出版 - 2006
已对外发布	是
活动	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 - Guangzhou, 中国期限: 3 10月 2006 → 6 10月 2006

出版系列

姓名	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
卷	2

会议

会议	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
国家/地区	中国
市	Guangzhou
时期	3/10/06 → 6/10/06

访问文件

10.1109/ICCIAS.2006.295379

其它文件与链接

链接到 Scopus 的出版物

引用此

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

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - An accelerated binary segmentation of brain vasculature using MRF model

AU - Hao, J. T.

AU - Li, M. L.

AU - Tang, F. L.

PY - 2006

Y1 - 2006

N2 - 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.

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.

UR - https://www.scopus.com/pages/publications/38949175408

U2 - 10.1109/ICCIAS.2006.295379

DO - 10.1109/ICCIAS.2006.295379

M3 - 会议稿件

AN - SCOPUS:38949175408

SN - 1424406056

SN - 9781424406050

T3 - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006

SP - 1825

EP - 1828

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

PB - IEEE Computer Society

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

摘要

出版系列

会议

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其它文件与链接

指纹

引用此