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Abstract #3422

Feasibility of white matter Standard Model parameter estimation in clinical settings

Santiago Coelho1, Steven Baete1, Gregory Lemberskiy1, Benjamin Ades-aron1, Jelle Veraart1, Dmitry S. Novikov1, and Els Fieremans1
1Radiology, NYU School of Medicine, New York, NY, United States

Robust parameter estimation of the Standard Model (SM) for diffusion in white matter has been elusive due to intrinsic model degeneracies and insufficient measurements. To design optimal scanner-specific protocols, we couple multidimensional protocol optimization for estimation of microstructural tissue properties in 15 minute acquisitions on clinical scanners with varying gradient performance. We show reproducible scan-rescan results and assess inter-scanner variability ranging from 1 to 8% depending on parameters. Results suggest that combining denoising, protocol optimization, and robust parameter estimation may enable quantitative microstructure mapping in clinical settings.

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