Meeting Banner
Abstract #1007

Joint RElaxation-Diffusion Imaging Moments (REDIM) to probe tissue microstructure

Lipeng Ning1,2, Borjan Gagoski1,3, Daniel Park4, Filip Szczepankiewicz1,2, Carl-Fredrik Westin1,2, and Yogesh Rathi1,2

1Harvard Medical School, Boston, MA, United States, 2Brigham and Women's Hospital, Boston, MA, United States, 3Boston Children's Hospital, Boston, MA, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States

The joint probability distribution of diffusivity and T2-relaxation coefficient provides useful information to characterize tissue microstructure. A standard approach for estimating this joint distribution relies on estimating the inverse Laplace transform from a large number of measurements which is not only infeasible in clinical settings but also numerically unstable. In this work, we introduce a novel approach, termed REDIM, to probe tissue microstructure using the statistical properties of a family of scaled distribution functions. In particular, we use specific functions to zoom into the joint probability function to robustly estimate different features of the underlying diffusion-relaxation processes. We show that this approach can be reliably implemented for use with in-vivo diffusion MRI (dMRI) data.

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

Join Here