Difference between revisions of "2010 Winter Project Week LongitudinalLupusAnalyses"

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Image:PW-SLC2010.png|[[2010_Winter_Project_Week#Projects|Projects List]]
 
Image:PW-SLC2010.png|[[2010_Winter_Project_Week#Projects|Projects List]]
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Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
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Image:CompareViewFlairLesionDiffWholeBrain.png|Flair with lesion diff.
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Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
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Image:CompareViewFlairLesionDiff.png|Lesions Time1 Vs. Time2
 
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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 Project/<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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* MRN: Mark Scully, Jeremy Bockholt
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* Utah: Tom Fletcher, Ross Whitaker
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* BWH: Steve Pieper
  
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
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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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Improve support for longitudinal analysis of lesion data.
  
  
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
  
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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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'''1.''' Meet with Andriy Fedorov and go over existing Change Tracker codebase and determine whether it can be adapted and if not, what elements can be reused.
  
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Our plan for the project week is to first try out <bar>,...
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'''2.''' Incorporate our current approach into Change Tracker or Re-Use elements of Change Tracker in a new longitudinal lesion analysis tool.
  
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
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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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'''1.''' Created a pipeline for longitudinal segmentation.
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'''2.''' Created a module to produce lesion change maps.
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==References==
 
==References==
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*Fletcher P, Tao R, Jeong W, Whitaker R. [http://www.na-mic.org/publications/item/view/634 A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI.] Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
 
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* Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. [http://www.na-mic.org/publications/item/view/292 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
 
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* Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. [http://www.na-mic.org/publications/item/view/1122 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
 
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* Goodlett C, Corouge I, Jomier M, Gerig G, 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 .
 
  
 
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Latest revision as of 15:40, 8 January 2010

Home < 2010 Winter Project Week LongitudinalLupusAnalyses

Key Investigators

  • MRN: Mark Scully, Jeremy Bockholt
  • BWH: Steve Pieper

Objective


Improve support for longitudinal analysis of lesion data.



Approach, Plan

1. Meet with Andriy Fedorov and go over existing Change Tracker codebase and determine whether it can be adapted and if not, what elements can be reused.

2. Incorporate our current approach into Change Tracker or Re-Use elements of Change Tracker in a new longitudinal lesion analysis tool.

Progress

1. Created a pipeline for longitudinal segmentation.

2. Created a module to produce lesion change maps.



References

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