I have fMRI images, some of which have a stripy artifact that looks like a Gabor filter. Removing this kind of noise is not, to my knowledge, a standard part of any fMRI processing pipeline. I am essentially asking this question, but they did not get an answer, so I'm trying again. What would be a standard image processing approach to these kinds of artifacts? This post suggests I can take a 2D FFT and look for spikes. It's definitely not feasible for me to manually inspect each of the tens of thousands of images in this experiment, but maybe I could come up with a computational definition of a spike. Any advice would be appreciated -- thanks!