Difference between revisions of "2008 Summer Project Week:DWI-DTI PrepTools"

From NAMIC Wiki
Jump to: navigation, search
Line 9: Line 9:
  
 
===Key Investigators===
 
===Key Investigators===
* UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
+
* UNC: Heather Cody Hazlett, Martin Styner, Zhexing Liu
* Utah: Tom Fletcher, Ross Whitaker
+
* Utah: Casey Goodlett, Guido Gerig, Tom Fletcher
  
  

Revision as of 17:11, 12 June 2008

Home < 2008 Summer Project Week:DWI-DTI PrepTools




Key Investigators

  • UNC: Heather Cody Hazlett, Martin Styner, Zhexing Liu
  • Utah: Casey Goodlett, Guido Gerig, Tom Fletcher


Objective

We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison.


Approach, Plan

Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below. The main challenge to this approach is <foo>.

Our plan for the project week is to first try out <bar>,...

Progress

Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the DTI Software Infrastructure project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.



References

  • Fletcher, P.T., Tao, R., Jeong, W.-K., Whitaker, R.T., "A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI," to appear Information Processing in Medical Imaging (IPMI) 2007.
  • Corouge, I., Fletcher, P.T., Joshi, S., Gilmore, J.H., and Gerig, G., "Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis," Medical Image Analysis 10 (2006), 786--798.
  • Corouge, I., Fletcher, P.T., Joshi, S., Gilmore J.H., and Gerig, G., Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis, Lecture Notes in Computer Science LNCS, James S. Duncan and Guido Gerig, editors, Springer Verlag, Vol. 3749, Oct. 2005, pp. 131 -- 138
  • C. Goodlett, I. Corouge, M. Jomier, and G. Gerig, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .