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18th International Conference on Pattern Recognition (ICPR'06) Volume 3
Probabilistic Modeling of Blood Vessels for Segmenting MRA Images
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Ayman El-Baz, Aly Farag, Georgy Gimel?farb, Mohamed A. El-Ghar, Tarek Eldiasty, "Probabilistic Modeling of Blood Vessels for Segmenting MRA Images," Pattern Recognition, International Conference on, vol. 3, pp. 917-920, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.946,
author = {Ayman El-Baz and Aly Farag and Georgy Gimel?farb and Mohamed A. El-Ghar and Tarek Eldiasty},
title = {Probabilistic Modeling of Blood Vessels for Segmenting MRA Images},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2006},
issn = {1051-4651},
pages = {917-920},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.946},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Probabilistic Modeling of Blood Vessels for Segmenting MRA Images
SN - 1051-4651
SP917
EP920
A1 - Ayman El-Baz,
A1 - Aly Farag,
A1 - Georgy Gimel?farb,
A1 - Mohamed A. El-Ghar,
A1 - Tarek Eldiasty,
PY - 2006
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Ayman El-Baz, University of Louisville, Louisville, Kentucky, USA.
Aly Farag, University of Louisville, Louisville, Kentucky, USA.
Georgy Gimel?farb, University of Auckland, New Zealand.
Mohamed A. El-Ghar, University of Mansoura, Mansoura, Egypt.
Tarek Eldiasty, University of Mansoura, Mansoura, Egypt.
A new physically justified adaptive probabilistic model of blood vessels on magnetic resonance angiography (MRA) images is proposed. The model accounts for both laminar (for normal subjects) and turbulent blood flow (in abnormal cases like anemia or stenosis) and results in a fast algorithm for extracting a 3D cerebrovascular system from the MRA data. Experiments with real data sets confirm the high accuracy of the proposed approach.
Citation:
Ayman El-Baz, Aly Farag, Georgy Gimel?farb, Mohamed A. El-Ghar, Tarek Eldiasty, "Probabilistic Modeling of Blood Vessels for Segmenting MRA Images," icpr, vol. 3, pp.917-920, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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