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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