Abstract #4834
Harmonization of Cortical Thickness Measurements Throughout the Human Lifespan
Sahar Ahmad1, Fang Nan2, Ye Wu1, Zhengwang Wu1, Weili Lin1, Li Wang1, Gang Li1, Di Wu3,4, and Pew-Thian Yap1
1Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Department of Biostatistics, University of Washington, Seattle, WA, United States, 3Department of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 4Division of Oral and Craniofacial Health Research, Adams School of Dentistry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
Synopsis
Pooling and integrating diverse imaging data across multiple sites is key to big data analytics in neuroimaging. Data amassed from multiple studies are inevitably heterogeneous due to differences in scanners, acquisition protocols, and post-acquisition image processing pipelines, substantially complicating downstream analyses. Here, we present a harmonization technique for multi-site large-scale longitudinal and cross-sectional data. We demonstrate the utility of our method in removing non-biological variability in cortical thickness measurements of individuals from birth to 100 years of age.
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