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Abstract #1950

Bayesian Model-Based Correction for Macro Vascular Signal in Dynamic Susceptibility Contrast Perfusion MRI

Michael A. Chappell1, 2, Amit Mehndiratta1, Stephen J. Payne1, Fernando Calamante3

1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom; 2FMRIB Centre, University of Oxford, Oxford, United Kingdom; 3Brain Research Institute, Florey Neuroscience Institutes, Melbourne, Victoria, Australia

Macro vascular (MV) contamination from contrast agent in major arteries is a significant source of bias in Dynamic Susceptibility Contrast (DSC) perfusion measurements. In this work we propose a model-based approach for MV correction that includes a MV component within a previously proposed vascular model for DSC data.