Meeting Banner
Abstract #0697

Reproducibility of white matter microstructure mapping with diffusion-relaxometry

Santiago Coelho1, Filip Szczepankiewicz2, Jelle Veraart1, Sohae Chung1, Yvonne W. Lui1, Dmitry S. Novikov1, and Els Fieremans1
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University, School of Medicine, New York, NY, United States, 2Department of Diagnostic Radiology, Clinical Sciences, Lund University, Lund, Sweden


Joint modeling of diffusion and relaxometry in white matter is attractive due to its potential to provide unique insights into tissue integrity. We designed a diffusion MRI protocol containing varying b-values, b-tensor shapes, and echo times, employed machine learning parameter estimation, and studied the reproducibility of the Standard Model (SM) parameters. We quantified scan-rescan reproducibility in six healthy volunteers for compartmental water fractions, diffusivities, and $$$T_2$$$ relaxation times. We also found good agreement between SM parameters obtained from diffusion-only data at fixed echo time, and those from joint diffusion-relaxometry acquisitions, providing a consistency check for the SM assumptions.

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

Join Here