Dear Tortoise Team!
Thanks for a great product and recent improvements, liking Tortoise version 3.2 so much that we want to move from version 3.1.4 to 3.2. However, the DIFFPREP command still seems to have a better aspect in 3.1.4 for our images, seeing that all our DTIs are well registered with 3.1.4 to all our T2s. However, when we use DIFFPREP from Tortoise 3.2, one subject becomes corrupted in the genu of the corpus callosum. Except from using two different DIFFPREP versions (3.1.4 and 3.2), everything else was identical, including registration settings file and images (T2, DTI, bvec, bval). For other reasons we want to move all our scripts to Tortoise 3.2, but we could stretch to use DIFFPREP from Tortoise 3.1.4 and EstimateTensorNLLSRESTORE and other commands from Tortoise 3.2 if possible. However, at web page https://tortoise.nibib.nih.gov/faq I noticed the following quote "We highly recommend not combining processing results from two different versions of the software", wondering if the mix explained above between 3.1.4 and 3.2 could be an okay combination or if you have another suggestion of how we may improve our registration in DIFFPREP of version 3.2 even for our data? Please note that in DIFFPREP 3.2 we have tried other distortion corrections than ANTSSyn, but ANTSSyn seems best.