Non-parametric deconvolution using Bézier curves for quantification of cerebral perfusion in dynamic susceptibility contrast MRI
Objective Deconvolution is an ill-posed inverse problem that tends to yield non-physiological residue functions R(t) indynamic susceptibility contrast magnetic resonance imaging (DSC-MRI). In this study, the use of Bézier curves is proposedfor obtaining physiologically reasonable residue functions in perfusion MRI.Materials and methods Cubic Bézier curves were employed, ensuring R(0)=1, bounded-in
