I have a dataset where I have dwi for all the subjects. Only 30 % have structural data and field maps. I ran the preprocessing using “dwi-only” and “ignore fieldmaps” option. Now I want to calculate som classical DTI measures for “corpus callosum” and some speech areas. How ca I do it from here? What reconstruction I can use in QSIPrep? How can I use lets say (MNI Space) to have these measures?
The dsi_studio_autotack recon spec might appeal to you. It produces tractography and micro+macrostructural metrics for each bundle. pyafq_tractometry could also work. What motivation do you have for using MNI space, opposed to subject space?
Also, as a heads up, a new QSIRecon version should be releasing soon.
Thanks for your help. I am testing pyafq_tractometry right now. I do not have any preference for MNI space over subject space. I was thinking in absence of t1ws I may need some reference space.
Thanks again! and I will test pyafq_tractometry and choose one of these.