A Testing Framework for Fiber Tractography

This report outlines a toolkit that has been developed for simulating DTI data as well as allowing the user to compare various nerve fiber tracking algorithms. Identifying and visualizing the nerve fiber tracts in the human brain using biomedical imaging, such as diffusion tensor imaging (DTI) can improve the diagnoses, understanding and treatment of a large variety of diseases. The process of extracting nerve fiber tracts is called fiber tractography and it has been widely used to diagnose various neuro-degenerative diseases. There are several existing DTI visualization toolkits, however they are not designed for testing and comparing different nerve fiber tracking algorithms. In has been concluded that the FiberTk toolkit is built which is capable of generating and visualizing userspecified nerve fiber tracts, evaluating various nerve fiber tracking algorithms. It is recommended to enhance the toolkit with various future developments including generating analysis report, creating more complicated nerve fiber shapes, allowing user to specify the starting points for nerve fiber tracking algorithms and non-linear interpolation for changing the fiber radius.