Difference between revisions of "ActionPlan"

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(New page: Comparative analysis of tractography methods/approaches #General Taxonomy (based on ROI requirements)- use all those presented at this conference and FSL tool #Reproducibility of tractogr...)
 
 
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Comparative analysis of tractography methods/approaches
 
Comparative analysis of tractography methods/approaches
 
#General Taxonomy (based on ROI requirements)- use all those presented at this conference and FSL tool
 
#General Taxonomy (based on ROI requirements)- use all those presented at this conference and FSL tool
 +
#Reproducibility of tractography approaches
 +
#Our same 5 ROIs + CC.  Sonia and Randy to make first pass in 1 subject, validate with Marek's lab and then send around to be sure work with algorithms.
  
#Reproducibility of tractography approaches
+
Need data sets, appropriate ROIs.  Iterate beginning with n=1 for ROI generation.
  
#Our same 5 ROIs + CC.  Sonia and Randy to make first pass in 1 subject, validate with Marek's lab and then send around to be sure work with algorithms.
+
Exploration of potential data sets (UNC n=1, 10 acquisitions with 6 directions; MIND n=10, 8 acquisitions, 2x at each of 3 sites with 6 directions and 2x at 1 site with 60 directions).
  
Need data sets, appropriate ROIs
+
Sylvain volunteers to make nrrd headers for the 10 MIND subjects data from MGH test/retest with Jeremy, Vince, Randy.
  
 +
Outcome metrics
 +
#User interface, hardware/software (processor speed, platform, RAM), operator time
  
   
+
== Preprocessing stream: ==
 +
#DWI with NiFTY header + gradient directions
 +
#Field Map correction (NMN.Iowa.MGH) if we verify that this is helpful
 +
#Eddy Current Correction (affine registration) (BWH)
 +
#nrrd (BWH)
 +
#weighted least squares (FSL won't match on this step) tensor estimation using #TEEM library (BWH)
 +
#T1 white matter mask co-registered to Eddy current corrected DWI data (NA-MIC affine registration tool) (Freesurfer white matter + ?  vs. EMSegmentation- Sonia/Sylvain)
 +
#ROIs in DWI/DTI space
 +
#Affine registration transformation to bring retest into test space (use this for mapping ROIs and outcome label maps only from test to retest for each subject)
  
  
 +
== Outcome metrics: ==
 +
#Space carved (Casey's DTIprocess tool that generates a volume label map measure from traceline).  This will give volumes, overlap, mean and Std Dev of FA, trace, mode.  Use these for test-retest metrics.  Pass these label maps to Sonia she will generate these.
 +
#Casey's FiberCompare multiple traceline visualization tool
 +
#Staple method to find common agreement (specificity and sensitivity)
 +
#Further discussion of how best to parameterize tracts at January AHM
 +
#
  
Exploration of potential data sets (UNC n=1, 10 acquisitions with 6 directions; MIND n=10, 8 acquisitions, 2x at each of 3 sites with 6 directions and 2x at 1 site with 60 directions).
 
  
Sylvain volunteers to make nrrd headers for the 10 MIND subjects data from MGH test/retest with Jeremy, Vince, Randy.
+
== Next steps:==
 +
#T-con November 16th 2 PM EST/ noon MST Agenda items include feedback on sample data set & ROIs
 +
#Next face to face gathering will be at the AHM, Randy to schedule time on the agenda t continue this project
 +
#Proper implementation of DTI gradient orientation system in ITK, nrrd, TEEM, etc (Casey/Tom to file bug report, bring it up in an upcoming Engineering T-con, plan for work on it next Project week))

Latest revision as of 05:21, 4 October 2007

Home < ActionPlan

Comparative analysis of tractography methods/approaches

  1. General Taxonomy (based on ROI requirements)- use all those presented at this conference and FSL tool
  2. Reproducibility of tractography approaches
  3. Our same 5 ROIs + CC. Sonia and Randy to make first pass in 1 subject, validate with Marek's lab and then send around to be sure work with algorithms.

Need data sets, appropriate ROIs. Iterate beginning with n=1 for ROI generation.

Exploration of potential data sets (UNC n=1, 10 acquisitions with 6 directions; MIND n=10, 8 acquisitions, 2x at each of 3 sites with 6 directions and 2x at 1 site with 60 directions).

Sylvain volunteers to make nrrd headers for the 10 MIND subjects data from MGH test/retest with Jeremy, Vince, Randy.

Outcome metrics

  1. User interface, hardware/software (processor speed, platform, RAM), operator time

Preprocessing stream:

  1. DWI with NiFTY header + gradient directions
  2. Field Map correction (NMN.Iowa.MGH) if we verify that this is helpful
  3. Eddy Current Correction (affine registration) (BWH)
  4. nrrd (BWH)
  5. weighted least squares (FSL won't match on this step) tensor estimation using #TEEM library (BWH)
  6. T1 white matter mask co-registered to Eddy current corrected DWI data (NA-MIC affine registration tool) (Freesurfer white matter + ? vs. EMSegmentation- Sonia/Sylvain)
  7. ROIs in DWI/DTI space
  8. Affine registration transformation to bring retest into test space (use this for mapping ROIs and outcome label maps only from test to retest for each subject)


Outcome metrics:

  1. Space carved (Casey's DTIprocess tool that generates a volume label map measure from traceline). This will give volumes, overlap, mean and Std Dev of FA, trace, mode. Use these for test-retest metrics. Pass these label maps to Sonia she will generate these.
  2. Casey's FiberCompare multiple traceline visualization tool
  3. Staple method to find common agreement (specificity and sensitivity)
  4. Further discussion of how best to parameterize tracts at January AHM


Next steps:

  1. T-con November 16th 2 PM EST/ noon MST Agenda items include feedback on sample data set & ROIs
  2. Next face to face gathering will be at the AHM, Randy to schedule time on the agenda t continue this project
  3. Proper implementation of DTI gradient orientation system in ITK, nrrd, TEEM, etc (Casey/Tom to file bug report, bring it up in an upcoming Engineering T-con, plan for work on it next Project week))