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
This study measures intra-scan, cross-scan, and cross-protocol variability, then evaluates the role of denoising using MPPCA (magnitude) and RMT (reconstruction from raw data) on the precision of estimating conventional DTI and higher-order diffusion metrics.
Coefficients of Variation over an ROI of the posterior limb of the internal capsule for rotational invariants, DTI parameters, and DKI parameters, averaged over all subjects. P1 v. P2 and S1 v. S2 measure scan-rescan variation. TE=92 v. TE=128 measure the effect of varying the echo time, CV for Prisma 1 and Prisma 2 scan vs. Prisma 3 scan were averaged. P v. S measure inter-scan variation, where scans Skyra 1 and Skyra 2 scan vs. Prisma 3 scan (with matched echo times) were averaged. Rescaling to the voxel level by $$$1/\sqrt{N voxels}$$$ yields CV ~ 1%.
Voxel-wiseVoxelwise coefficients of variation are shown for MD, MK, and FA for scan-rescan data on the Prisma and the Skyra. Generally, theThe CVs are at 5-10% level on a voxelwise basis in whiter matter and higher in gray matter.