Description: Implement a method to create a population-specific Tractography Bundle Atlas. Given an input of several subjects’ segmented white matter tracts, create one standard atlas of bundles for the population. The method will utilize the streamline-based registration framework available in DIPY.
Steps:
- Understand Diffusion Tensor Imaging and Tractography data
- Implement Bundle Atlas creation method
- Write DIPY workflow of the method
- Test it on different data sets
Difficulty: Hard
Skills required: Python, Registration.
Skills preferred: Experience with Diffusion Tensor Imaging
Mentors: Bramsh Chandio, Shreyas Fadnavis, and Jong Sung Park