2008 Winter Project Week:Fluid Mechanics Tractography
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Key Investigators
- UCLA: Nathan Hageman
- UCLA: Arthur Toga, Ph.D
- Georgia Tech: John Melonakos (interested collaborator)
Objective
We have developed a diffusion tensor imaging (DTI) tractography method based on Navier-Stokes fluid mechanics. The goal of this project is to make our method compatible with NA-MIC ITK-based software infrastructure in order facilitate its dissemination to the scientific community.
Approach, Plan
The details of our method is given in the paper listed in the reference section. Our approach will focus on working with NA-MIC members and collaborators to successfully reimplement our method in a NA-MIC ITK compatible form. Our plan for the project week is to introduce the basics of our method to the NA-MIC community and make progress in converting our code to a compatible form.
Progress
January 2008 Project Week
- TBA
June 2007 Project Week
We have made progress in converting our DTI analysis code to work in the ITK/vTK environment. We have created modules for
- reconstruction of the diffusion tensor and computation of common DTI scalar volumes (FA, LI, RGB)
- computation of fluid velocity vector field volume
- reconstruction of tracts based on the above fluid velocity volume
Current work is focusing on optimizing the code for the above modules and integrating them as tools in NAMIC's Slicer software environment.
References
- NS Hageman, DW Shattuck, K Narr, AW Toga. A Diffusion tensor imaging tractography method based on Navier-Stokes Fluid Mechanics. In Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging, 2006.
- NS Hageman, AW Toga, K Narr, DW Shattuck. A Diffusion Tensor Imaging Tractography Algorithm Based on Navier-Stokes Fluid Mechanics. IEEE Transactions in Medicial Imaging, In Submission.
- L Hamilton, K Nuechterlein, NS Hageman, R Woods, R Asarnow, J Alger, C Gaser, AW Toga, K Narr. Mean Diffusivity and Fractional Anisotropy as Indicators of Schizophrenia and Genetic Vulnerability, Human Brain Mapping, In Submission.
