An improved statistical approach for cerebrovascular tree extraction

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

doi:10.1007/11812715_43

An improved statistical approach for cerebrovascular tree extraction

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

Abstract

In this paper, we present a statistical approach to aggregating shape and speed information for whole cerebrovascular tree extraction in time-of-flight magnetic resonance angiography (TOF-MRA). By embedding Frangi's vesselness measure into the prior mopodel, the newly porposede segmentation framework can greatly improve the capability of detecting the tiny vessel branch.

Original language	English
Title of host publication	Medical Imaging and Augmented Reality - Third International Workshop
Publisher	Springer Verlag
Pages	341-347
Number of pages	7
ISBN (Print)	3540372202, 9783540372202
DOIs	https://doi.org/10.1007/11812715_43
State	Published - 2006
Externally published	Yes
Event	3rd International Workshop on Medical Imaging and Augmented Reality - Shanghai, China Duration: 17 Aug 2006 → 18 Aug 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4091 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Workshop on Medical Imaging and Augmented Reality
Country/Territory	China
City	Shanghai
Period	17/08/06 → 18/08/06

Keywords

Hessian matrices
Markov Random field
Maximum a posteriori(MAP) estimation
Statistical segmentation
Time-of-flight

Access to Document

10.1007/11812715_43

Cite this

Hao, J. T., Li, M. L., & Tang, F. L. (2006). An improved statistical approach for cerebrovascular tree extraction. In Medical Imaging and Augmented Reality - Third International Workshop (pp. 341-347). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4091 LNCS). Springer Verlag. https://doi.org/10.1007/11812715_43

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title = "An improved statistical approach for cerebrovascular tree extraction",

abstract = "In this paper, we present a statistical approach to aggregating shape and speed information for whole cerebrovascular tree extraction in time-of-flight magnetic resonance angiography (TOF-MRA). By embedding Frangi's vesselness measure into the prior mopodel, the newly porposede segmentation framework can greatly improve the capability of detecting the tiny vessel branch.",

keywords = "Hessian matrices, Markov Random field, Maximum a posteriori(MAP) estimation, Statistical segmentation, Time-of-flight",

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

year = "2006",

doi = "10.1007/11812715\_43",

language = "英语",

isbn = "3540372202",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "341--347",

booktitle = "Medical Imaging and Augmented Reality - Third International Workshop",

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note = "3rd International Workshop on Medical Imaging and Augmented Reality ; Conference date: 17-08-2006 Through 18-08-2006",

}

Hao, JT, Li, ML & Tang, FL 2006, An improved statistical approach for cerebrovascular tree extraction. in Medical Imaging and Augmented Reality - Third International Workshop. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4091 LNCS, Springer Verlag, pp. 341-347, 3rd International Workshop on Medical Imaging and Augmented Reality, Shanghai, China, 17/08/06. https://doi.org/10.1007/11812715_43

An improved statistical approach for cerebrovascular tree extraction. / Hao, J. T.; Li, M. L.; Tang, F. L.
Medical Imaging and Augmented Reality - Third International Workshop. Springer Verlag, 2006. p. 341-347 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4091 LNCS).

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

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AU - Li, M. L.

AU - Tang, F. L.

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AB - In this paper, we present a statistical approach to aggregating shape and speed information for whole cerebrovascular tree extraction in time-of-flight magnetic resonance angiography (TOF-MRA). By embedding Frangi's vesselness measure into the prior mopodel, the newly porposede segmentation framework can greatly improve the capability of detecting the tiny vessel branch.

KW - Hessian matrices

KW - Markov Random field

KW - Maximum a posteriori(MAP) estimation

KW - Statistical segmentation

KW - Time-of-flight

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DO - 10.1007/11812715_43

M3 - 会议稿件

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SN - 9783540372202

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 341

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BT - Medical Imaging and Augmented Reality - Third International Workshop

PB - Springer Verlag

T2 - 3rd International Workshop on Medical Imaging and Augmented Reality

Y2 - 17 August 2006 through 18 August 2006

ER -

An improved statistical approach for cerebrovascular tree extraction

Abstract

Publication series

Conference

Keywords

Access to Document

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