Abstract #1942

Impact of the Analysis of Phantoms on Data Quality for the DTI Component of the NIH MRI Study of Normal Brain Development

Lindsay Walker¹,², Michael Curry¹, Amritha Nayak¹,², Nicholas Lange³, Carlo Pierpaoli¹, The Brain Development Cooperative Group⁴

¹PPITS/STBB/NICHD, NIH, Bethesda, MD, United States; ²CNRM, USUHS, Bethesda, MD, United States; ³Harvard Schools of Medicine and Public Health, Boston, MA, United States; ⁴www.NIH-PediatricMRI.org

The NIH MRI Study of Normal Brain Development (PedsMRI) aims to study human brain development (birth 18 years) using MRI modalities including diffusion tensor imaging (DTI). In preparation for the upcoming PedsMRI data release, including DTI data for the first time, we performed an analysis of variability on the PedsMRI phantom DTI data with the aim of providing high quality DTI imaging data for the public data repository.