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A theoretical framework for quantifying blood volume flow rate from dynamic angiographic data and application to vessel-encoded arterial spin labeling MRI.

Abstract:

Angiographic methods can provide valuable information on vessel morphology and hemodynamics, but are often qualitative in nature, somewhat limiting their ability for comparison across arteries and subjects. In this work we present a method for quantifying absolute blood volume flow rates within large vessels using dynamic angiographic data. First, a kinetic model incorporating relative blood volume, bolus dispersion and signal attenuation is fitted to the data. A self-calibration method is al...

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Publication status:
Published

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Publisher copy:
10.1016/j.media.2013.06.005

Authors


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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience
Role:
Author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience
Role:
Author
Journal:
Medical image analysis
Volume:
17
Issue:
8
Pages:
1025-1036
Publication date:
2013-12-05
DOI:
EISSN:
1361-8423
ISSN:
1361-8415
URN:
uuid:31156abe-6028-47ed-8ea3-e348254ba78a
Source identifiers:
414431
Local pid:
pubs:414431

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