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Hi -
The method used in dtifit is a simple least squares fit to a mono-exponential model, where each measurement is associated with a (potentially different) bvalue.

cheers,
Saad.


On 16 May 2007, at 09:12, Brian Schweinsburg wrote:

I was wondering if there is any documentation on the method used to process
datasets that include two (or more) b-values (e.g., 1200, 800) in dtifit? I
checked the FDT appendix, but, based on my limited understanding of the
mechanics, I could not tell if the methods were generalizable for > 1
b-value. Is there a bi-exponential fit at some point prior to solving for
tensor elements?

I greatly appreciate any information and/or pointers to relevant literature.

Thanks,
Brian

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Saad Jbabdi, 
Postdoctoral Research Assistant,  
Oxford University FMRIB Centre

FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
+44 (0) 1865 222545  (fax 222717)
[log in to unmask]    http://www.fmrib.ox.ac.uk/~saad
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