Difference between revisions of "2010 Winter Project Week MultiscaleLupusAnalyses"

From NAMIC Wiki
Jump to: navigation, search
(Updated Approach and Progress)
 
(One intermediate revision by the same user not shown)
Line 2: Line 2:
 
<gallery>
 
<gallery>
 
Image:PW-SLC2010.png|[[2010_Winter_Project_Week#Projects|Projects List]]
 
Image:PW-SLC2010.png|[[2010_Winter_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.
+
Image:LupusLesionTractsFar.png|DTI Tracts passing near or through lesions
Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
+
Image:LesionTractsNear.png|Zoomed in on a lesion (red volume)
 
</gallery>
 
</gallery>
  
Line 39: Line 39:
 
'''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.  
 
'''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.''' Examine multiple projects such as the Cortical Thickness and Stochastic Tractography modules and apply to our test data.
+
'''3.''' Applied Cortical Thickness and Stochastic Tractography modules to our test data.
 
 
'''4.''' Perform a simple statistical analysis of the resulting features.
 
  
 
</div>
 
</div>

Latest revision as of 16:59, 8 January 2010

Home < 2010 Winter Project Week MultiscaleLupusAnalyses

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.

References