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Technical Program
Paper Detail
| Paper: | MA-L3.8 |
| Session: | Biomedical Image Segmentation |
| Time: | Monday, October 9, 12:20 - 12:40 |
| Presentation: |
Lecture
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| 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. |
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