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.