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White Matter Analysis (WMA) provides clustering and tractography analysis tools. For an overview of how to start working with WMA, start here: https://github.com/SlicerDMRI/whitematteranalysis/wiki/2)-Running-the-Clustering-Pipeline

WMA implements algorithms from publications listed here: http://projects.iq.harvard.edu/whitematteranalysis/publications

Also see the main github page here: https://github.com/SlicerDMRI/whitematteranalysis

Documentation

• Input and output file formats: https://github.com/SlicerDMRI/whitematteranalysis/wiki/1)-Inputs-and-Outputs
• Using the clustering to create an atlas: https://github.com/SlicerDMRI/whitematteranalysis/wiki/2a)-Running-the-Clustering-Pipeline-to-Create-a-Groupwise-Data-Driven-Parcellation-Atlas
• Clustering a subject using an existing atlas: https://github.com/SlicerDMRI/whitematteranalysis/wiki/2b)-Running-the-Clustering-Pipeline-to-Cluster-a-Single-Subject-from-the-Atlas
• Interacting with output in 3D Slicer: https://github.com/SlicerDMRI/whitematteranalysis/wiki/3)-Visualization-of-Clustered-Tracts
• Fiber clustering result analysis: https://github.com/SlicerDMRI/whitematteranalysis/wiki/4)-Measurement-from-Clustered-Tracts and https://github.com/SlicerDMRI/whitematteranalysis/wiki/5)-Analysis-of-Anatomical-Location-of-Cluster-Endpoints