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:

DWI with NiFTY header + gradient directions (Field Map correction (NMN.Iowa.MGH) 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

• Outcome metrics:

Space carved (Casey's DTIprocess tool that generates a volume label map measure from traceline) in high resolution. Use this for test-retest metric