fMRIprep Automatic Output QC Assessment
Is there any automatic classifier that take the metrics of IQMs to have image quality criteria? After using nipreps/mriqc I noticed that in the .html reports that are generated, a gadget appears at the top right of the screen to manually classify the image according to its quality. In this case, is there any quantitative criteria to qualify the quality of the image based on the values of the IQMs metrics? In other words, is there a range of values that each of these metrics or exclusion thresholds should have?
On the idea of the automatic classifier …
I was reading in some forums and they mention ‘mriqc_clf’ and ‘mriqc-learn’ but I haven’t found a wiki for either. I also noticed on the command lines they refer to poldracklab/mriqc or poldracklab/fmriprep. I’m working with the nipreps version and I don’t know if ‘mriqc_clf’ and ‘mriqc-learn’ will be implemented for it. Currently esxist any classifier implemented that use the .tsv data from T1 and BOLD to qualify the image quality?
I would welcome any comments.
Command used (and if a helper script was used, a link to the helper script or the command generated):
BIDS ok, no errors.