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.