Accuracy of cerebral blood flow obtained from dynamic susceptibility contrast-enhanced MRI using deconvolution analysis based on singular value decomposition

Based on the indicator dilution theory, cerebral blood flow (CBF) can be quantified from dynamic susceptibility contrast-enhanced magnetic resonance imaging (DSC-MRI) by deconvolution between the arterial input function (AIF) and the concentration curve in the brain [1]. There are several methods for performing deconvolution, and an algebraic approach based on singular value decomposition (SVD) has been shown to be one of the most reliable options. The purpose of this study was to investigate the effect of the threshold value for SVD on the accuracy of CBF quantification from DSC-MRI under various conditions.