A theoretical framework for quantifying blood volume flow rate from dynamic angiographic data and application to vessel-encoded arterial spin labeling MRI.
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%0 Journal Article
%1 journals/mia/OkellCJ13
%A Okell, Thomas W.
%A Chappell, Michael A.
%A Jezzard, Peter
%D 2013
%J Medical Image Analysis
%K dblp
%N 8
%P 1025-1036
%T A theoretical framework for quantifying blood volume flow rate from dynamic angiographic data and application to vessel-encoded arterial spin labeling MRI.
%U http://dblp.uni-trier.de/db/journals/mia/mia17.html#OkellCJ13
%V 17
@article{journals/mia/OkellCJ13,
added-at = {2018-11-14T00:00:00.000+0100},
author = {Okell, Thomas W. and Chappell, Michael A. and Jezzard, Peter},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2647c729f3733996eb5a2fc755a139e8c/dblp},
ee = {https://www.wikidata.org/entity/Q30656352},
interhash = {ef577af9df11dc8d2711c5cd0fd513b1},
intrahash = {647c729f3733996eb5a2fc755a139e8c},
journal = {Medical Image Analysis},
keywords = {dblp},
number = 8,
pages = {1025-1036},
timestamp = {2019-09-27T07:17:43.000+0200},
title = {A theoretical framework for quantifying blood volume flow rate from dynamic angiographic data and application to vessel-encoded arterial spin labeling MRI.},
url = {http://dblp.uni-trier.de/db/journals/mia/mia17.html#OkellCJ13},
volume = 17,
year = 2013
}
