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Abstract #4513

Rigorous Prospective Reduction of Inter-scanner Variance of Diffusion Imaging: Initial Experience

Vincent Kyu Lee1, Benjamin Meyers1, William T Reynolds2, Rafael Ceschin1, Vincent Schmithorst1, Jeffrey Berman3, Thomas Chenevert4, Borjan Gagoski5, Peter LaViolette6, Deqiang Qiu7, Sudhir Pathak1, Ashok Panigrahy1, and Walter Schneider8
1Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 2Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States, 3Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 4Radiology, University of Michigan, Ann Arbor, MI, United States, 5Radiology, Harvard Medical School, Boston, MA, United States, 6Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 7Radiology, Emory University, Atlanta, GA, United States, 8Psychology, University of Pittsburgh, Pittsburgh, PA, United States

Our study shows for the first time that synthetic phantoms that simulate fiber anatomical characteristics can provide in vitro corrections factors for reducing in-vivo inter-scanner variance specific to discrete segments of cortical association fiber tracts. The overall goal of our evolving rigorous harmonization approach is to reduce inter-scanner variance that can confound biological variance derived from multi-center discovery and neuroprotection clinical trials in the developing human brain.

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