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Quantification of perfusion fMRI using a numerical model of arterial spin labeling that accounts for dynamic transit time effects
Author(s) -
HernandezGarcia Luis,
Lee Gregory R.,
Vazquez Alberto L.,
Yip ChunYu,
Noll Douglas C.
Publication year - 2005
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.20613
Subject(s) - arterial spin labeling , computer science , signal (programming language) , turbo , algorithm , subtraction , function (biology) , perfusion , mathematics , arithmetic , evolutionary biology , biology , cardiology , medicine , automotive engineering , engineering , programming language
A new approach to modeling the signal observed in arterial spin labeling (ASL) experiments during changing perfusion conditions is presented in this article. The new model uses numerical methods to extend first‐order kinetic principles to include the changes in arrival time of the arterial tag that occur during neuronal activation. Estimation of the perfusion function from the ASL signal using this model is also demonstrated. The estimation algorithm uses a roughness penalty as well as prior information. The approach is demonstrated in numerical simulations and human experiments. The approach presented here is particularly suitable for fast ASL acquisition schemes, such as turbo continuous ASL (Turbo‐CASL), which allows subtraction pairs to be acquired in less than 3 s but is sensitive to arrival time changes. This modeling approach can also be extended to other acquisition schemes. Magn Reson Med, 2005. © 2005 Wiley‐Liss, Inc.