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