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Abstract #3372

TractEM: A fast protocol for Whole Brain Tractography

Roza G Bayrak1, Kurt G Schilling2, Jasmine Greer3, Colin B Hansen1, Justin A Blaber4, Christa M Greer3, Susan M Resnick5, Owen A Williams5, Lori L Beason-Held5, Baxter P Rogers2,6, and Bennett A Landman2,4

1Computer Science, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institue of Imaging Science, Nashville, TN, United States, 3Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Electrical Engineering, Vanderbilt University, Nashville, TN, United States, 5Laboratory of Behavioral Neuroscience, National Institue of Aging, National Institutes of Health, Baltimore, MD, United States, 6Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States

We introduce TractEM, a tractography-based whole-brain labeling protocol informed by the Eve Labeling [1] procedures from the single-subject Johns Hopkins white matter atlas [1, 2]. This project proposes to create a resource of manually labelled white matter atlases that is driven by state-of-the-art diffusion tractography, and can be manually created in less than 6 hours. We defined and tested the TractEM protocol on 61 tracts for 20 subjects, with multiple raters per subject, and show moderate to high reproducibility for most labels. TractEM should be a useful resource for generating target templates for automated labeling methods.

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