Greetings:
I have a good amount of non-uniformity artifact in my data and have pushed them through a two-pass bias-correction:
1) VBM8 -- extremely light reg, 30mm cutoff bias FWHM -- write bias-corrected image in native space
2) VBM8 -- same bias parameters, 2 sampling distance, 1 warping regularisation -- write normalized non-linear only
I have loads of associated functional data that needs processing, and would like to apply the bias-correction to those as well. What would be the most efficient way of correcting for field inhomogeneity in those EPI data?
All the best,
Patrick
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