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Abstract #2172

Cerebral Blood Flow Quantification from QUASAR ASL by Stable Spline

Marco Castellaro1, Amit Mehndiratta2, Denis Peruzzo1, Gianluigi Pillonetto1, Esben Thade Petersen3, Xavier Golay4, Michael A. Chappell2, Alessandra Bertoldo1

1Department of Information Engineering, University of Padova, Padova, PD, Italy; 2Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom; 3Departments of Radiology and Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands; 4University College London, London, United Kingdom

QUASAR ASL allows the simultaneous estimation of Cerebral Blood Flow (CBF) and the residue function using deconvolution techniques. One vital aspect of quantification process is the estimation of delay between arterial input function and tissue. The error in delay might be propagated to CBF estimation. In this study the performance of a novel deconvolution method, Stable Spline (SS) was compared with the most commonly used method (oSVD) both on simulated and clinical data. SS showed a reliable estimation of delay, CBF along with physiologically realistic residue function compared to oSVD.