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Yes.
Bias correction can be used. For ANTs-based pipelines, both N3 and N4 have been used. However, it's oftentimes a personal preference. If you find that bias correction does not improve your results, than you shouldn't use it. |
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I want to use N4BiasFieldCorrection on 4D functional images with the
aim of reducing inhomogeneity in signal intensity resulting from the
bias field. I am concerned about 3 questions as follows:
The placement of the detection coils contribute to the bias field,
but for the same subject, does the subject's head placement or
movement influce the bias field?
I first applied N4BiasFieldCorrection on 4D raw data of functional
images, but I am not sure whether the operation would change the shape
of voxel time series? I found some researchers performed the N4
correction on the mean functional image (after motion correction and
slice timing). I am confused that is the N4 corection meaningful when
the preprocessing might change something of the data, e.g.,
distribution?
On my experience, the effect on the raw data is much better than doing
on the preprocessed functional data. But I have no idea about the
underlying principles.
Would you please give a standard protocol for correcting 4D functional data?
What is your comments on applying N4BiasFieldCorrection on 4D functional images?
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