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Biexponential modeling of multigradient‐echo MRI data of the brain
Author(s) -
Speck O.,
Ernst T.,
Chang L.
Publication year - 2001
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.1147
Subject(s) - nuclear magnetic resonance , imaging phantom , t2 relaxation , magnetic resonance imaging , spiral (railway) , signal (programming language) , relaxation (psychology) , nuclear medicine , chemistry , radiology , physics , medicine , computer science , mathematics , mathematical analysis , programming language
Functional MRI (fMRI) using fast multigradient‐echo acquisition methods allows the quantitative determination of the relevant parameter T * 2 . Previously, the TE‐dependent signal decay has been modeled with a monoexponential function despite the complex composition of the brain. In this study, biexponential modeling was used to evaluate the relaxation of brain parenchyma and blood separate from that of cerebrospinal fluid. Single‐shot multigradient‐echo data acquired with spiral or EPI techniques were analyzed. In phantom experiments the biexponential method proved to be accurate. Compared to the biexponential procedure, the monoexponential model overestimated T * 2(72.2 msec vs. 65.3 msec) and underestimated Δ T * 2(2.96 msec vs. 3.19 msec) during visual stimulation. The biexponential method may allow intrinsic correction for partial volume effects due to cerebrospinal fluid. The activation‐induced parameter changes are detected with a sensitivity equal to that of a monoexponential method. The resulting T * 2and Δ T * 2values describe the experimental data more accurately. Magn Reson Med 45:1116–1121, 2001. © 2001 Wiley‐Liss, Inc.
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