Difference between revisions of "2010 Winter Project Week MultiscaleLupusAnalyses"
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Image:PW-SLC2010.png|[[2010_Winter_Project_Week#Projects|Projects List]] | Image:PW-SLC2010.png|[[2010_Winter_Project_Week#Projects|Projects List]] | ||
| − | Image: | + | Image:LupusLesionTractsFar.png|DTI Tracts passing near or through lesions |
| − | Image: | + | Image:LesionTractsNear.png|Zoomed in on a lesion (red volume) |
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<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | + | To combine the multiple types of available neuroimaging data in to a multiscale analysis of a lupus patient. | |
| + | Perform a multiscale analysis using sMR, DWI, ASL, and an fMR rest task on a lupus patient | ||
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| + | Use various existing NAMIC analysis pipelines to process each type of neuroimaging data and then combine all resulting features into a single statistical analysis. | ||
| + | Implement any functionality that doesn't currently exist in the NAMIC kit. | ||
</div> | </div> | ||
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<h3>Progress</h3> | <h3>Progress</h3> | ||
| + | '''1.''' Experimented with multiple DWI pipelines and started processing data using GTRACT | ||
| + | |||
| + | '''2.''' Implemented a module to perform cross-correlation of the signals created by averaging all voxels within an anatomical region per TR using a rest task during fMRI. | ||
| + | '''3.''' Applied Cortical Thickness and Stochastic Tractography modules to our test data. | ||
</div> | </div> | ||
Latest revision as of 16:59, 8 January 2010
Home < 2010 Winter Project Week MultiscaleLupusAnalyses
DTI Tracts passing near or through lesions
Zoomed in on a lesion (red volume)
Key Investigators
- MRN: Mark Scully, Jeremy Bockholt
- BWH: Steve Pieper
Objective
To combine the multiple types of available neuroimaging data in to a multiscale analysis of a lupus patient. Perform a multiscale analysis using sMR, DWI, ASL, and an fMR rest task on a lupus patient
Approach, Plan
Use various existing NAMIC analysis pipelines to process each type of neuroimaging data and then combine all resulting features into a single statistical analysis.
Implement any functionality that doesn't currently exist in the NAMIC kit.
Progress
1. Experimented with multiple DWI pipelines and started processing data using GTRACT
2. Implemented a module to perform cross-correlation of the signals created by averaging all voxels within an anatomical region per TR using a rest task during fMRI.
3. Applied Cortical Thickness and Stochastic Tractography modules to our test data.
