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Delay and dispersion effects in dynamic susceptibility contrast MRI: Simulations using singular value decomposition
Author(s) -
Calamante Fernando,
Gadian David G.,
Connelly Alan
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 - 10.1002/1522-2594(200009)44:3<466::aid-mrm18>3.0.co;2-m
Subject(s) - contrast (vision) , singular value decomposition , dispersion (optics) , dynamic contrast , nuclear magnetic resonance , value (mathematics) , dynamic contrast enhanced mri , dynamic mode decomposition , decomposition , mathematics , magnetic resonance imaging , physics , computer science , chemistry , radiology , medicine , algorithm , artificial intelligence , statistics , mechanics , optics , organic chemistry
Dynamic susceptibility contrast (DSC) MRI is now increasingly used for measuring perfusion in many different applications. The quantification of DSC data requires the measurement of the arterial input function (AIF) and the deconvolution of the tissue concentration time curve. One of the most accepted deconvolution methods is the use of singular value decomposition (SVD). Simulations were performed to evaluate the effects on DSC quantification of the presence of delay and dispersion in the estimated AIF. Both delay and dispersion were found to introduce significant underestimation of cerebral blood flow (CBF) and overestimation of mean transit time (MTT). While the error introduced by the delay can be corrected by using the information of the arrival time of the bolus, the correction for the dispersion is less straightforward and requires a model for the vasculature. Magn Reson Med 44:466–473, 2000. © 2000 Wiley‐Liss, Inc.