Ryan McNaughton1, Hernan Jara1,2, Chris Pieper2, Laurie Douglass2, Rebecca Fry3, Karl Kuban2, and T. Michael O'Shea3
1Boston University, Boston, MA, United States, 2Boston University Medical Center, Boston, MA, United States, 3University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, MA, United States
1Boston University, Boston, MA, United States, 2Boston University Medical Center, Boston, MA, United States, 3University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, MA, United States
qVision, a semi-automated processing pipeline for MS-qMRI, was developed for the Tri-TSE and validated as part of the large-scale, multi-site, and multi-vendor ELGAN-ECHO study. Harmonized, high-resolution maps of T1, T2, PD, and SE, as well as heavily R1-weighted images were generated.
White matter spatial entropy mapping. qVision processing
pipeline for spatial entropy mapping, utilizing principles of MS-qMRI mapping
and Synthetic MRI.
Example
MS-qMRI maps of A) T1, B) T2, and C) PD for a 15-year-old female. The
corresponding T1, T2, and PD histograms are provided.