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Abstract #3068

Quantifying Cerebral Haemodynamics Beyond CBF Using Control Point Interpolation Deconvolution for DSC MRI Perfusion Analysis

Amit Mehndiratta1, Bradley J. MacIntosh2, David E. Crane2, Stephen J. Payne1, Michael A. Chappell1

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

Perfusion analysis could provide tissue residue function by deconvolution of the observed MR signal with AIF; however with SVD it is challenging due to non-physiological oscillations. The Control Point Interpolation method has been demonstrated to provide smooth residue functions in perfusion analysis and is sensitive to pathological variations. Our analysis of eight atherosclerotic disease patients showed variation in residue function among healthy and ischemic tissue which was quantified by calculating the time taken for the residue function to drop to 50% and 10% of its maximum value. Capillary transit time heterogeneity information was also extracted from this residue function by calculating transit time distribution for tissue.