Meeting Banner
Abstract #0405

Random matrix theory denoising minimizes cross-scanner,-protocol variability and maximizes repeatability of higher-order diffusion metrics

Benjamin Ades-Aron1, Santiago Coelho1, Jelle Veraart1, Gregory Lemberskiy1, Genevieve Barroll1, Steven Baete1, Timothy Shepherd1, Dmitry S. Novikov1, and Els Fieremans1
1Radiology, NYU School of Medicine, New York, NY, United States

Translation of diffusion MRI-derived quantitative biomarkers into clinical decision making has been hampered by within-scanner and cross-scanner variability. We compare intra-scan, cross-scan, and cross-protocol variability of multi-shell diffusion MRI for three subjects and evaluated two Random Matrix Theory (RMT)-based denoising techniques to enhance repeatability. Without denoising, best scan-rescan repeatability was found for intra-scanner measurements with the highest SNR (shortest TE), RMT-based denoising greatly reduced variability across scanners and TE, resulting in coefficients of variation about 5% for all comparisons. Increased precision across scanners and protocols should increase statistical power and further enable clinical trials of quantitative higher-order diffusion MRI.

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

Join Here