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

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.