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Whole brain quantitative CBF and CBV measurements using MRI bolus tracking: Comparison of methodologies
Author(s) -
Smith Anne M.,
Grandin Cécile B.,
Duprez Thierry,
Mataigne Frédéric,
Cosnard Guy
Publication year - 2000
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/(sici)1522-2594(200004)43:4<559::aid-mrm10>3.0.co;2-n
Subject(s) - deconvolution , cerebral blood flow , singular value decomposition , mathematics , nuclear medicine , medicine , algorithm , cardiology
Three different deconvolution techniques for quantifying cerebral blood flow (CBF) from whole brain T * 2 ‐weighted bolus tracking images were implemented (parametric Fourier transform P‐FT, parametric single value decomposition P‐SVD and nonparametric single value decomposition NP‐SVD). The techniques were tested on 206 regions from 38 hyperacute stroke patients. In the P‐FT and P‐SVD techniques, the tissue and arterial concentration time curves were fit to a gamma variate function and the resulting CBF values correlated very well (CBF P‐FT = 1.02 • CBF P‐SVD , r 2 = 0.96). The NP‐SVD CBF values (i.e., original unfitted curves were used) correlated well with the P‐FT CBF values only when a sufficient number of time series volumes were acquired to minimize tracer time curve truncation (CBF P‐FT × 0.92 • CBF NP‐SVD , r 2 = 0.88). The correlation between the fitted CBV and the unfitted CBV values was also maximized in regions with minimal tracer time curve truncation (CBV fit = 1.00 • CBV unfit , r 2 = 0.89). When a sufficient number of time series volumes could not be acquired (due to scanner limitations) to avoid tracer time curve truncation, the P‐FT and P‐SVD techniques gave more reliable estimates of CBF than the NP‐SVD technique. Magn Reson Med 43:559–564, 2000. © 2000 Wiley‐Liss, Inc.