Difference between revisions of "MICCAI2009Prostate-BWH"

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__NOTOC__
 
__NOTOC__
<gallery>
 
Image:PW2009-v3.png|[[2009_Summer_Project_Week|Project Week Main Page]]
 
Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
 
Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
 
</gallery>
 
 
 
==Instructions for Use of this Template==
 
==Instructions for Use of this Template==
 
#Please create a new wiki page with a unique title for your segmentation results using the convention ContestantName_Results
 
#Please create a new wiki page with a unique title for your segmentation results using the convention ContestantName_Results
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#Send an email to elhawary at bwh.harvard.edu if experience problems
 
#Send an email to elhawary at bwh.harvard.edu if experience problems
  
==Key Investigators==
+
==Contestant Names and Institutions==
* UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
+
* BWH: Nobuhiko Hata, Sota Oguro, Haytham Elhawary
* Utah: Tom Fletcher, Ross Whitaker
+
* Queens: Gabor Fichtinger
 
 
<div style="margin: 20px;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
 
 
<h3>Objective</h3>
 
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.
 
 
 
</div>
 
 
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
 
 
<h3>Approach, Plan</h3>
 
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>,...
 
</div>
 
 
 
<div style="width: 40%; float: left;">
 
 
 
<h3>Result</h3>
 
+++++++++short description of result+++++++
 
[[file:your-result-nrrd-file.zip]]
 
DSC Value +++++
 
HD Valu ++++
 
  
</div>
+
==NRRD files==
</div>
+
* Upload segmented prostate images to this section in NRRD file, preferably a zip. For instructions, please see Upload File option in the Toolbox side bar of the wiki page
  
==References==
+
==Paper==
*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.
+
* Upload paper describing the segmentation algorithm
* 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.
 
* 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.
 
* 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 .
 

Latest revision as of 20:54, 25 June 2009

Home < MICCAI2009Prostate-BWH

Instructions for Use of this Template

  1. Please create a new wiki page with a unique title for your segmentation results using the convention ContestantName_Results
  2. Copy the entire text of this page into the page created above
  3. Link the created page into the list of Contestant Results
  4. Delete this section from the created page
  5. Send an email to elhawary at bwh.harvard.edu if experience problems

Contestant Names and Institutions

  • BWH: Nobuhiko Hata, Sota Oguro, Haytham Elhawary
  • Queens: Gabor Fichtinger

NRRD files

  • Upload segmented prostate images to this section in NRRD file, preferably a zip. For instructions, please see Upload File option in the Toolbox side bar of the wiki page

Paper

  • Upload paper describing the segmentation algorithm