Dear DSI Studio staff member or Mr. Yeh,
Interpret this as a Theorical question.
For background, I'm a master's student and in my thesis I will use DSI studio on a dataset of 60 patients. It contains default DTI, T1, T2 and FLAIR.
"Diffusion spectrum imaging (DSI), a newly developed MRI technique, affords the capacity to map complex fiber architectures in tissues with sufficient angular resolution by imaging the spectra of tissue water diffusion. By contrast, diffusion tensor imaging (DTI), the currently widely used technique based on the 2nd order tensor model, obtains an approximation of the complex diffusion, and provides only one global maximal direction corresponding to the primary eigenvector for each voxel."
My question is if I only have DTI data, how can DSI studio "transform" it into DSI data?
Or in other words, what are the techniques in the Tractography algorithm that clearly state "this is DSI and not DTI"?
Is it the "beyond-DTI” methods such as GQI, QSDR, RDI" ?
Thank you in advance,
Best regards,
Manuel