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Abstract #4412

Detection of TBI-Related Anomalies in Single-Subject DTI Scalar Images

John M. Ollinger 1 , PIng-Hong Yeh 1 , David Joy 1 , Terrence R Oakes 1 , and Gerard Riedy 1

1 NICoE, Walter Reed National Military Medical Center, Bethesda, Maryland, United States

John M Ollinger, Ping-Hong-Yeh, David Joy, Terrence R. Oakes, Gerard Riedy Although DTI parameters such as FA, AD, RD, and MD have demonstrated differences between patients with TBI and controls in group studies, they have not yet been applied in the clinic. The method proposed here uses tensor normalization, matched numbers of gradient vectors, and the Box-Cox transformation to derive t-statistics and Hotelling T2 maps which are thresholded to detect anomalous regions. The specificity and sensitivity are characterized by the probability of replication and the total number of detected regions as proxies. The probability of replication is shown be vary between 0.4 and .7 depending on the parameters chosen.

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