A robust framework for combined estimation of DKI and CSF partial volume fraction parameters

TitleA robust framework for combined estimation of DKI and CSF partial volume fraction parameters
Publication TypeConference Abstract
Year of Publication2016
AuthorsQ. Collier, A J. den Dekker, B. Jeurissen, and J. Sijbers
Conference Name8th annual meeting of the ISMRM Benelux chapter, Eindhoven, Netherlands
Abstract

Diffusion kurtosis imaging (DKI) suffers from partial volume effects caused by cerebrospinal fluid (CSF). We propose a DKI+CSF model combined with a framework to robustly estimate the DKI parameters. Since the estimation problem is ill-conditioned, a Bayesian estimation approach with a shrinkage prior is incorporated. Both simulation and real data experiments suggest that the use of this prior leads to a more accurate, precise and robust estimation of the DKI+CSF model parameters. Finally, we show that not correcting for the CSF compartment can lead to severe biases in the parameter estimations.