A software ecosystem for brain tractometry processing, analysis, and insight
Fig 2
Panels A and B show select tracts recognized using Baby pyAFQ, with MRtrix3 for tractography [37], in an example baby subject. Panels C and D show select tracts recognized using Recobundles [39] in the Stanford HARDI subject [11]. Tracts in panels A-D were selected for visual clarity. Panels E and F show the acoustic and optic radiations recognized in subject NDARAA948VFH from the Healthy Brain Network Processed Open Diffusion Derivatives dataset [54,55]. All of these recognized tracts are results of Python scripts from pyAFQ’s examples library, which demonstrates pyAFQ’s extensibility. Panels A, C, and E show the axial plane from above and panels B, D, and F show the sagittal plane from the left.