I have been reading with interest the postings on smoothing criteria and
I have a couple of followup questions:
1) Isn't it necessary to smooth the data to a particular level so that
the appropriate criteria are met for Gaussian Field Theory? If so using
no smoothing or variable size kernels might not be such a good idea.
2) An oft mentioned rule of thumb is that the kernel should be "2-3
times the voxel size". Should that be 2-3 times the original voxel size
(e.g. 3.75 3.75 7) or 2-3 times the voxel size of the spatially
normalised volume (which is 3mm cubic)? Presumably the normalisation
itself introduces some degree of smoothing.
Thanks
Krish
--
Dr Krish Singh, ([log in to unmask])
Magnetic Resonance and Image Analysis Research Centre, Liverpool
University
Pembroke Place, Liverpool, L69 3BX, UK. Tel 0151 7945645. Fax 0151 794
5635
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|