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Abstract #1747

4D Modeling of Infant Brain Growth in Downs Syndrome and Controls from longitudinal MRI

Clement Vachet 1 , Heather C. Hazlett 2,3 , Joseph Piven 2,3 , and Guido Gerig 1

1 Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States, 2 Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, NC, United States, 3 Department of Psychiatry, University of North Carolina at Chapel Hill, NC, United States

Longitudinal infant brain MRI is used to assess subject-specific brain growth trajectories and to calculate normative data. A 4D registration/segmentation framework jointly segments brain tissue at all time-points, and thus tackles the challenging age-specific MRI tissue contrast. Nonlinear mixed-effect modeling of full-brain and lobar tissue volumes results in statistical growth models presented as average trajectories with confidence bounds. Procedures were applied to 13 control and 4 Downs syndrome subjects, with imaging at 6, 12 and 24 months. Results show significant differences in gray but not white matter. Lobe-specific analysis reveals the complex, nonlinear growth difference pattern not reported elsewhere.

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