I’m using an old diffusion dataset (+B0), I derived the response function using dhollander, then with the WM and CSF response functions I calculated the FODs and finally I use mtnormalise with the obtained FODs.
I want to run tractography in this dataset and I don’t have any structural data, my question is: is it possible from the WM FOD derive a WM mask? I tried thresholding the FA but is neonatal data, so the obtained mask is not really good. Thanks in advance.
This is really tricky… It’s already hard enough to get a half-decent segmentation from structural images in neonates, but I can’t think of any way to do this from the diffusion data themselves – the GM often looks more like WM than the bulk of the superficial WM, the contrast is all over the place. I’m afraid I don’t have any useful suggestions here…