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Abstract #1043

Brain Aging Patterns with ADC Histogram Analysis: A Large Scale and Wide Age Range Retrospective Study (767 Subjects, 15 Days-93.8 Years)

Osamu Sakai1, Steven Kussman1, Al Ozonoff2, Koji Tanabe1, Kaan Erbay1, Memi Watanabe1, Naoko Saito1, Hernan Jara1

1Radiology, Boston University School of Medicine, Boston, MA, USA; 2Biostatistics, Boston University School of Public Health, Boston, MA, USA

Purpose: To study the age dependencies of apparent diffusion coefficient (ADC) histogram of the brain in the large and wide age ranged population. Also to develop peak and width ADC vs. age mathematical model valid over the full human lifespan. Methods: Brain data of 767 subjects (15 days-93.8 years) obtained by SS-DW-SE-EPI were segmented into the whole intracranial matter leading to ADC histograms. Results: ADC peak value, as well as histogram width of the whole brain showed clear age-related patterns. Conclusion: The mathematical models for ADC peak value and histogram width vs. age valid throughout life have been developed with 767 subjects.