In this thesis, I have sought to address these issues by developing a toolbox called “Quantitative Tract Integrity Profiles (Q-TIPs)” that: is purely MATLAB-based (making it compatible with most operating systems), has a flexible and user-friendly interface, and will be distributed as a standalone toolbox for the popular Statistical Parametric Mapping (SPM) software package. This toolbox extracts the orientation of any ROI mask by calculating the medial axis using Voronoi and Delaunay algorithms, and then cross-sectional segments along the extracted medial axis are used to create profiles based on any quantitative white matter magnetic resonance imaging metric (e.g., diffusion tensor imaging, myelin water imaging, magnetization transfer imaging, etc.). As a result, this toolbox will enable future neuroimaging studies to more easily and flexibly quantify white matter imaging signals along individual tracts as a function of neural development, healthy aging, traumatic brain injury, or neurodegenerative disease. / February 2017