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| | __NOTOC__ | | __NOTOC__ |
| | <gallery> | | <gallery> |
| − | Image:PW2009-v3.png|[[2009_Summer_Project_Week|Project Week Main Page]] | + | Image:PW-MIT2013.png|[[2013_Summer_Project_Week#Projects|Projects List]] |
| − | 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:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
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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 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
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| | ==Key Investigators== | | ==Key Investigators== |
| − | * UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig | + | * GRC: Rui Li, Jim Miller |
| − | * Utah: Tom Fletcher, Ross Whitaker | + | * Kitware: Jean-Christophe Fillion-Robin |
| | + | * Isomics: Steve Pieper |
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| | <div style="margin: 20px;"> | | <div style="margin: 20px;"> |
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| | <h3>Objective</h3> | | <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.
| + | Python embedding library to manage calling python functions from C++. This will eliminate the code duplication in Slicer. |
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| | </div> | | </div> |
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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>.
| + | Discuss with Jc and Steve regarding how to incorporate into Slicer. Currently it |
| − | | + | is used as a downloadable library during superbuild, similar to SlicerExecutionModel. |
| − | Our plan for the project week is to first try out <bar>,...
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| | </div> | | </div> |
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| | <h3>Progress</h3> | | <h3>Progress</h3> |
| − | 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> |
| | </div> | | </div> |
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| − | ==References== | + | ==Delivery Mechanism== |
| − | *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.
| + | https://github.com/grclirui/PythonCppAPI.git |
| − | * 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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