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Abstract #1350

Optimal acquisition settings for simultaneous diffusion kurtosis, free water fraction and T2 estimation

Vincenzo Anania1,2, Ben Jeurissen1,3, Jan Morez1, Annemieke E. Buikema1, Thibo Billiet2, Jan Sijbers1,3, and Arnold J. den Dekker1,3
1imec-Vision Lab, Dept. of Physics, University of Antwerp, Antwerp, Belgium, 2icometrix, Leuven, Belgium, 3┬ÁNEURO Research Centre of Excellence, University of Antwerp, Antwerp, Belgium


Fitting the diffusion kurtosis imaging free water elimination model (DKI-FWE) to diffusion MRI data represents an ill-conditioned problem. Fortunately, the conditioning of the model fitting can be improved by explicitly modeling the T2 relaxation dependency of the signal. As a benefit, diffusion and kurtosis metrics robust to partial volume effects can be estimated with conventional techniques. In this work, we use Cramér-Rao lower bound (CRLB) theory to identify optimal acquisition settings that maximize the precision of the model parameter estimates.

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