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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