Meeting Banner
Abstract #1731

Optimizing the Signal Model for Diffusional Kurtosis Imaging

Jens H Jensen1,2, Vaibhav Mohanty1,2, Emilie T McKinnon1,2,3, and Joseph A Helpern1,2,3,4

1Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States, 2Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, United States, 3Department of Neurology, Medical University of South Carolina, Charleston, SC, United States, 4Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States

A generalized signal model for diffusional kurtosis imaging (DKI) is proposed containing an adjustable parameter that can be optimized to reduced systematic errors in kurtosis estimates. This is illustrated by applying an established tissue model for diffusion in brain to fix the parameter, and numerical simulations are employed to demonstrate the improvement in accuracy relative to kurtosis estimates obtained with the standard DKI signal model. Finally, in vivo brain data is used to compare mean kurtosis estimates obtained with the standard and optimized DKI signal models.

This abstract and the presentation materials are available to members only; a login is required.

Join Here