- Abstract:
-
In this paper, we present an approach to segmenting the brain vasculature in phase contrast magnetic resonance angiography (PC-MRA). According to our prior work, we can describe the overall probability density function of a PC-MRA speed image as either a Maxwell-uniform (MU) or Maxwell-Gaussian-uniform (MGU) mixture model. An automatic mechanism based on Kullback-Leibler divergence is proposed for selecting between the MGU and MU models given a speed image volume. A coherence measure, namely ...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1109/tmi.2004.836877
-
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- Journal:
- IEEE transactions on medical imaging
- Volume:
- 23
- Issue:
- 12
- Pages:
- 1490-1507
- Publication date:
- 2004-12-05
- DOI:
- EISSN:
-
1558-254X
- ISSN:
-
0278-0062
- URN:
-
uuid:2d151eca-f169-422d-bf75-06bfe7ae5a61
- Source identifiers:
-
63267
- Local pid:
- pubs:63267
- Language:
- English
- Keywords:
- Copyright date:
- 2004
Journal article
Vascular segmentation of phase contrast magnetic resonance angiograms based on statistical mixture modeling and local phase coherence.
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