Dear Patrick,
there is no opportunity to apply the T1-based bias correction to your fMRI data. However, intensity inhomogeneities for fMRI data should be roughly the same for all images , thus it is the same systematical effect which should not affect your statistical analysis too much (because you are comparing images with each other with the same bias effect).
Best,
Christian
On Sun, 26 Jan 2014 23:56:56 +0000, Patrick McConnell <[log in to unmask]> wrote:
>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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