Abstract #3239

Test-Retest and Between-Site Reliability in a Multisite Diffusion Tensor Imaging Study

Ikbeom Jang¹, Sumra Bari¹, Yukai Zou^2,3, Nicole L. Vike^3,4, Pratik Kashyap¹, and Thomas M. Talavage^1,2

¹Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, ²Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, ³College of Veterinary Medicine, Purdue University, West Lafayette, IN, United States, ⁴Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, United States

Diffusion tensor imaging (DTI) has been frequently employed in the identification of brain biomarkers for neurodevelopmental and neurodegenerative disorders due to its ability to measure spatial organization of brain tissue. Due to the need for larger sample size to address substantive questions of interest, many studies try to merge data from several scanners, and ideally, a reliability study should come first. In this study, we assess reliability of DTI measures across two systems using the intraclass correlation coefficient, such that we may pool data in future multi-site DTI studies.

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