Difference between revisions of "Project Week/Template"

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</gallery>
 
</gallery>
  
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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 2013_Summer_Project_Week:<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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* UAB: Arie Nakhmani, LiangJia Zhu, Allen Tannenbaum
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* Utah: Tom Fletcher, Ross Whitaker
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* BWH: Yi Gao, Ron Kikinis
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* Utah: Rob MacLeod, Josh Cates
  
 
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<div style="margin: 20px;">
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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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<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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Our plan for the project week is to first try out <bar>,...
 
  
 
</div>
 
</div>
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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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</div>
 
</div>
  
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==Delivery Mechanism==
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==delivery Mechanism==
  
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This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)
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This work will be delivered to the NA-MIC Kit as a loadable commandline extension and antor effect.
  
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#ITK Module
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==References==
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#Slicer Module
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* A. Nakhmani, A. Tannenbaum, "Tracking with Adaptive Sobolev Snakes." Submitted to
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##Built-in
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IEEE Transactions on Image Processing.
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##Extension -- commandline
 
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##Extension -- loadable
 
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#Other (Please specify)
 
  
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==References==
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* A. Nakhmani, A. Tannenbaum, "Self-Crossing Detection and Location for Parametric
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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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Active Contours," IEEE Transactions on Image Processing, DOI:10.1109/TIP.2012.2188808,
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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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Volume 21, Issue 7, pp. 3150-3156, July 2012.
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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 .
 

Revision as of 17:21, 25 May 2013

Home < Project Week < Template

  • Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.

  • Regression of FA data; solid line represents the mean and dotted lines the standard deviation.


Key Investigators

  • UAB: Arie Nakhmani, LiangJia Zhu, Allen Tannenbaum
  • BWH: Yi Gao, Ron Kikinis
  • Utah: Rob MacLeod, Josh Cates

Objective




Approach, Plan


Progress


delivery Mechanism

This work will be delivered to the NA-MIC Kit as a loadable commandline extension and antor effect.

References

  • A. Nakhmani, A. Tannenbaum, "Tracking with Adaptive Sobolev Snakes." Submitted to

IEEE Transactions on Image Processing.

  • A. Nakhmani, A. Tannenbaum, "Self-Crossing Detection and Location for Parametric

Active Contours," IEEE Transactions on Image Processing, DOI:10.1109/TIP.2012.2188808, Volume 21, Issue 7, pp. 3150-3156, July 2012.

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