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 higher order diffusion representation for our human and macaque data from early braindevelopment DWI studies | * Compare and select the most appropriate higher order diffusion representation for our human and macaque data from early braindevelopment DWI studies | ||
− | * Visualization (development/implementation of modules for Slicer3), in collab with [[http://www.na-mic.org/Wiki/index.php/2010_Winter_Project_Week_HARDI_RSH | Ploy/Verma/Westin] | + | * Visualization (development/implementation of modules for Slicer3), in collab with [[http://www.na-mic.org/Wiki/index.php/2010_Winter_Project_Week_HARDI_RSH | Ploy/Verma/Westin]] |
* Fiber tractography and connectivity information analysis | * Fiber tractography and connectivity information analysis | ||
Revision as of 19:41, 7 December 2009
Home < 2010 Winter Project Week HARDI CONNECTIVITYKey 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 higher order diffusion representation for our human and macaque data from early braindevelopment DWI studies
- Visualization (development/implementation of modules for Slicer3), in collab with [| Ploy/Verma/Westin]
- Fiber tractography and connectivity information analysis
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