Abstract #0195

Non-Parametric Quantification of Cerebral Haemodynamics from Dynamic Susceptibility Contrast MRI

Amit Mehndiratta¹, Bradley J. MacIntosh², David E. Crane², Stephen J. Payne³, Michael A. Chappell³

¹Institute of Biomedical Engineering , University of Oxford, Oxford, Oxfordshire, United Kingdom; ²Medical Biophysics, University of Toronto, Toronto, ON, Canada; ³Institute of Biomedical Engineering, University of Oxford, Oxford, Oxfordshire, United Kingdom

DSC-MRI analysis is an ill-posed inverse problem involving deconvolution of the observed MR signal with an AIF. The current standard SVD methods underestimate perfusion with an oscillatory residue function whereas the alternative vascular model-based (VM) approach permits only predefined shapes that may not be appropriate in pathology. Here we propose a deconvolution method that can estimate perfusion along with a physiological plausible residue function without any bias to a specific class of functional shapes. Our results showed the perfusion estimates were comparable to VM and the method formulation ensures physiologically realistic smooth functions.