MICCAI2009Prostate-BWH
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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
- Copy the entire text of this page into the page created above
- Link the created page into the list of Contestant Results
- Delete this section from the created page
- Send an email to elhawary at bwh.harvard.edu if experience problems
Key Investigators
- UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
- Utah: Tom Fletcher, Ross Whitaker
Objective
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.
Approach, Plan
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>,...
Result
+++++++++short description of result+++++++ File:Your-result-nrrd-file.zip DSC Value +++++ HD Valu ++++
References
- Fletcher P, Tao R, Jeong W, Whitaker R. 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.
- Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. 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. 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 .