ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MA-L3.8
Session:Biomedical Image Segmentation
Time:Monday, October 9, 12:20 - 12:40
Presentation: Lecture
Topic: Biomedical Imaging: Biomedical image segmentation and quantitative analysis
Title: FAST UNSUPERVISED SEGMENTATION OF 3D MAGNETIC RESONANCE ANGIOGRAPHY
Authors: Ayman El-Baz; University of Louisville 
 Aly A. Farag; University of Louisville 
 Georgy Gimel'farb; University of Auckland 
 Mohamed A. El-Ghar; University of Mansoura 
 Tarek Eldiasty; University of Mansoura 
Abstract: 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.