Difference between revisions of "2008 Winter Project Week:Fluid Mechanics Tractography"

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Computational fluid dynamics is a rich field and its application to the analysis of diffusion tensor imaging (DTI) datasets has yielded possible applications to tractography, image registration, and white matter pathology.  We are developing several useful and novel diffusion tensor imaging (DTI) analysis algorithms modeled on the principles of fluid mechanics for inclusion within the NA-MIC framework.  The goal of this project is to develop these methods, make them compatible with the NA-MIC ITK-based software infrastructure (i.e. Slicer), and promote their dissemination to the scientific community.
 
Computational fluid dynamics is a rich field and its application to the analysis of diffusion tensor imaging (DTI) datasets has yielded possible applications to tractography, image registration, and white matter pathology.  We are developing several useful and novel diffusion tensor imaging (DTI) analysis algorithms modeled on the principles of fluid mechanics for inclusion within the NA-MIC framework.  The goal of this project is to develop these methods, make them compatible with the NA-MIC ITK-based software infrastructure (i.e. Slicer), and promote their dissemination to the scientific community.
 
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<h1>Approach, Plan </h1>
 
<h1>Approach, Plan </h1>

Revision as of 14:52, 19 December 2007

Home < 2008 Winter Project Week:Fluid Mechanics Tractography
Corticospinal tracts segmented using our fluid mechanics based tractography method.


Key Investigators

  • UCLA: Nathan Hageman
  • UCLA: Arthur Toga, Ph.D
  • Georgia Tech: John Melonakos (interested collaborator)

Objective

Computational fluid dynamics is a rich field and its application to the analysis of diffusion tensor imaging (DTI) datasets has yielded possible applications to tractography, image registration, and white matter pathology. We are developing several useful and novel diffusion tensor imaging (DTI) analysis algorithms modeled on the principles of fluid mechanics for inclusion within the NA-MIC framework. The goal of this project is to develop these methods, make them compatible with the NA-MIC ITK-based software infrastructure (i.e. Slicer), and promote their 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.