Difference between revisions of "2010 Winter Project Week HARDI CONNECTIVITY"
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | + | * 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) | ||
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<h3>Progress</h3> | <h3>Progress</h3> | ||
| + | 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. | ||
</div> | </div> | ||
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</div> | </div> | ||
<div style="width: 97%; float: left;"> | <div style="width: 97%; float: left;"> | ||
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| + | ==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 | ||
| + | </div> | ||
==References== | ==References== | ||
</div> | </div> | ||
Revision as of 16:10, 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 neonatal brain data. 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.
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
