Difference between revisions of "2010 Winter Project Week HARDI CONNECTIVITY"

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<h3>Objective</h3>
 
<h3>Objective</h3>
We are developing methods to study the connectivity of the developing brain in humans and macaques.  The goal is to 1) perform probabilistic-based tractography using HARDI information; 2) visualization of ODF along with fiber tracking results in Slicer and 3) employ all the information in connectivity analysis mainly in the neonatal data.
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We are developing methods to study the connectivity of the developing brain in humans and macaques.  The goals for this project week is the development 1) of a visualization strategy of ODF/HARDI information in Slicer (work with Ploy/Verma/Westin) and 2) of a global fiber tractography method using HARDI/ODF information. Longterm goals of the project include application of the tractography results for deformable registration purposes and studying connectivity patterns in brain development.
  
  

Revision as of 19:39, 7 December 2009

Home < 2010 Winter Project Week HARDI CONNECTIVITY

Key Investigators

  • UNC-Chapel Hill: Yundi(Wendy) Shi, Deepika Mahalingam, Martin Styner


Objective

We are developing methods to study the connectivity of the developing brain in humans and macaques. The goals for this project week is the development 1) of a visualization strategy of ODF/HARDI information in Slicer (work with Ploy/Verma/Westin) and 2) of a global fiber tractography method using HARDI/ODF information. Longterm goals of the project include application of the tractography results for deformable registration purposes and studying connectivity patterns in brain development.


Approach, Plan

  • Compare and select the most appropriate HARDI technique for the neonatal data
  • Fiber tratography and connectivity information analysis using HARDi information
  • Visualization ( implementation of a module in Slicer3)

Progress

We have the matlab implementation of various QBall techniques and have applied those techniques to neonatal human data and primate data. We're also learning to use the CAMINO package and looking for ways to expand the functions in visualization and fiber tratography.

References

  • P. A. Cook, Y. Bai, S. Nedjati-Gilani, K. K. Seunarine, M. G. Hall, G. J. Parker, D. C. Alexander, Camino: Open-Source Diffusion-MRI Reconstruction and Processing, 14th Scientific Meeting of the International Society for Magnetic Resonance in Medicine, Seattle, WA, USA, p. 2759, May 2006