Difference between revisions of "2009 Winter Project Week:LocalCorticalThicknessPipeline"

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|[[Image:CorticalThickness_WhiteMatter.jpg|thumb|170px| Regional cortical thickness analysis on white matter surface]]
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|[[Image:CorticalThickness_GreyMatter.jpg|thumb|170px|Regional cortical thickness analysis on grey matter surface]]
 
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===Key Investigators===
 
===Key Investigators===
* UNC: Clement Vachet, Martin Styner, Heather Cody Hazlett, Marc Niethammer
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* UNC: Clement Vachet, Martin Styner, Heather Cody Hazlett, Marc Niethammer, Ipek Oguz
 
* GE: Jim Miller  
 
* GE: Jim Miller  
  
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<h1>Approach, Plan</h1>
 
<h1>Approach, Plan</h1>
  
Our plan for the project week is to finish the pipeline and perform the analysis on a small dataset.
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Our plan for the project week is to improve the pipeline and focus on the following steps:
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*Mesh inflation with mesh correction
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*Inflated mesh correspondence using particle systems
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We will perform the analysis on a small dataset.
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<h1>Progress</h1>
 
<h1>Progress</h1>
  
Software for the registration between electrophysiology Carto data and the MR angiogram has been implemented, using the ITK/VTK platform (see ISMRM 2008 abstract, Taclas et al, and figure above). This week we wrote code to quantitatively determine the distances between each ablation location, and the closest region of scar, and to determine the distances between each pixel of scar, and the nearest ablation point.   Therefore we accomplished our goal!
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The local cortical thickness pipeline has been slightly modified to include WMMap fixing
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*The mesh inflation step has been updated to detect vertices that have a high curvature (extremities)
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*A new module has been developped to correct the WMMap image
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*Pipeline loops until the fixing is no longer necessary
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 +
 
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Meetings (with Martin, Dan Marcus, Wendy Plesniak) and concerning future integration of the tool within Slicer3: use of XNAT for group analysis.
  
 
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Latest revision as of 17:02, 9 January 2009

Home < 2009 Winter Project Week:LocalCorticalThicknessPipeline
Regional cortical thickness analysis on white matter surface
Regional cortical thickness analysis on grey matter surface



Key Investigators

  • UNC: Clement Vachet, Martin Styner, Heather Cody Hazlett, Marc Niethammer, Ipek Oguz
  • GE: Jim Miller


Objective

We are developing an end-to-end application within Slicer3 allowing individual and group analysis of local cortical thickness.

Such a workflow applied to the young brain (2-4 years old) is our goal in order to start a longitudinal study of early brain development in autism (UNC DBP).

See our Roadmap for more details.

Approach, Plan

Our plan for the project week is to improve the pipeline and focus on the following steps:

  • Mesh inflation with mesh correction
  • Inflated mesh correspondence using particle systems

We will perform the analysis on a small dataset.

Progress

The local cortical thickness pipeline has been slightly modified to include WMMap fixing

  • The mesh inflation step has been updated to detect vertices that have a high curvature (extremities)
  • A new module has been developped to correct the WMMap image
  • Pipeline loops until the fixing is no longer necessary


Meetings (with Martin, Dan Marcus, Wendy Plesniak) and concerning future integration of the tool within Slicer3: use of XNAT for group analysis.


References