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Abstract #1974

Simultaneous Bayesian Estimation of Motion and Pharmacokinetic Parameters in Dynamic Contrast-Enhanced MRI for the Discrimination of Responders in Colorectal Cancer

Manav Bhushan1, Julia Schnabel1, Lydia Tanner2, Fergus Gleeson3, Sir Michael Brady2, Mark Jenkinson4

1Institute of Biomedical Engineering, Oxford University, Oxford, United Kingdom; 2Department of Radiation Oncology and Biology, Oxford University; 3Department of Radiology, Churchill Hospital; 4Centre for Functional MRI of the Brain, Oxford University

We present a novel Bayesian framework for non-rigid motion correction and Pharmacokinetic (PK) parameter estimation in dynamic contrast-enhanced MRI. We use our algorithm to co-register image volumes from dceMRI scans acquired for Colorectal cancer patients before, and after 5 weeks of chemoradiotherapy and estimate the PK-parameter maps for the same. We then classify each patient as a responder or non-responder to therapy on the basis of the difference between the pre- and post-therapy distributions of PK-parameters. We show that there is a significant benefit in using motion-correction within this framework, and also compare the results obtained using two AIFs.