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Vascular segmentation of phase contrast magnetic resonance angiograms based on statistical mixture modeling and local phase coherence.

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 ...

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Publication status:
Published

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Publisher copy:
10.1109/tmi.2004.836877

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
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

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