[Camino-users] Difference between tensor fitting models

[Ed Gronenschild]

Hi,

I'm using modelfit to estimate the single tensor in the DWI images.
Three options for the model were used:

1. model = ldt
2. model = nldt
3. model = restore

I noticed differences between all results. My question concerns
the difference between nldt en restore. To my opinion, restore is
based on a non-lineair least squares technique to estimate the
tensor and should be the same as nldt in the absence of outliers.
Is that right?

Kind regards,
Ed