Traumatic brain injury (TBI) is a source of considerable cost to society. Measures have been taken to increase awareness of possible injury, with safety precautions following suit. Despite this vigilance, the possibility of underdiagnosis is a reality. In this abstract, we seek to explain DTI-derived metrics and their application in the clinical setting. Tract based spatial statistics (TBSS), brain segmentation, and network analysis were applied to TBI and healthy cohorts to derive metrics that could aid in the diagnosis of mild TBI (mTBI), and provide a mechanism for quantification of severity and risk stratification.