Difference between revisions of "DBP2:MIND:BeyondLesionsProject"

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(New page: {| |thumb|320px|Return to [[2008_Summer_Project_Week|Project Week Main Page ]] |[[Image:genuFAp.jpg|thumb|320px|Scatter plot of the original FA data through ...)
 
 
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|[[Image:ProjectWeek-2008.png|thumb|320px|Return to [[2008_Summer_Project_Week|Project Week Main Page]] ]]
 
|[[Image:ProjectWeek-2008.png|thumb|320px|Return to [[2008_Summer_Project_Week|Project Week Main Page]] ]]
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|[[Image:genuFAp.jpg|thumb|320px|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.]]
 
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__NOTOC__
 
__NOTOC__
  
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===Instructions for Use of this Template===
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#Please create a new wiki page with an appropriate title for your project using the convention NA-MIC/Projects/Theme-Name/Project-Name
 
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#Copy the entire text of this page into the page created above
 
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#Link the created page into the list of projects for the project event
 
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#Delete this section from the created page
 
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#Send an email to tkapur at bwh.harvard.edu if you are stuck
 
  
 
===Key Investigators===
 
===Key Investigators===
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* UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
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*H. Jeremy Bockholt
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* Utah: Tom Fletcher, Ross Whitaker
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*Mark Scully
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*Ross Whitaker
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*Steve Pieper
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*Vincent Magnotta
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*Guido Gerig
  
  
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<h1>Objective</h1>
 
<h1>Objective</h1>
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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.
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Going beyond classification of crisp boundaries of lesion hyperintensities on FLAIR, how can DTI be incorporated to investigate diffuse lesions.
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Determine the requirements for potentially looking at white matter intensity abnormalities that may not manifest themselves as "classic lesions"
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Set up a framework for testing lower FA and higher MD in lupus versus healthy normal volunteers
  
 
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<h1>Approach, Plan</h1>
 
<h1>Approach, Plan</h1>
  
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Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below. The main challenge to this approach is <foo>.
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Map out a strategy and timeline with concrete deliverables for use of DTI scalars.
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Can FA/MD maps contribute favourably to lesion classification or do these maps demonstrate more diffuse white matter abnormalities at and around lesions as identified on FLAIR.
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Set up and run analysis of 42 patients/controls (15 with lesions) to determine if the study replicates lowered FA and highered MD in white matter lesion regions.
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Our plan for the project week is to first try out <bar>,...
 
 
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<h1>Progress</h1>
 
<h1>Progress</h1>
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This project was more of a planning session this week.
  
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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 [[NA-MIC/Projects/Diffusion_Image_Analysis/DTI_Software_and_Algorithm_Infrastructure|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.
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Met with Nathan Hageman and discussed some possible approaches to using the scalars, but also potentially using the full eigen-system to analyze multi-direction diffusion.
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Introduced to the DTI visualization and analysis capabilities of Slicer along with Nathan's DTI analysis tools.
  
 
</div>
 
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</div>
 
</div>
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===References===
 
===References===
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* 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.
 
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* 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.
 
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* 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
 
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* 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 .
 

Latest revision as of 13:50, 27 June 2008

Home < DBP2:MIND:BeyondLesionsProject
Return to Project Week Main Page




Key Investigators

  • H. Jeremy Bockholt
  • Mark Scully
  • Ross Whitaker
  • Steve Pieper
  • Vincent Magnotta
  • Guido Gerig


Objective

Going beyond classification of crisp boundaries of lesion hyperintensities on FLAIR, how can DTI be incorporated to investigate diffuse lesions. Determine the requirements for potentially looking at white matter intensity abnormalities that may not manifest themselves as "classic lesions" Set up a framework for testing lower FA and higher MD in lupus versus healthy normal volunteers

Approach, Plan

Map out a strategy and timeline with concrete deliverables for use of DTI scalars. Can FA/MD maps contribute favourably to lesion classification or do these maps demonstrate more diffuse white matter abnormalities at and around lesions as identified on FLAIR.

Set up and run analysis of 42 patients/controls (15 with lesions) to determine if the study replicates lowered FA and highered MD in white matter lesion regions.


Progress

This project was more of a planning session this week.

Met with Nathan Hageman and discussed some possible approaches to using the scalars, but also potentially using the full eigen-system to analyze multi-direction diffusion.

Introduced to the DTI visualization and analysis capabilities of Slicer along with Nathan's DTI analysis tools.


References

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