Dear readers of the FSL List!
Our lab is developing a quality assurance pipeline to automatically
check and generate reports of the acquired MR data. My task is to
find out, what is already done at different sites and labs.
I would be glad if you like to share your QA steps and maybe scripts.
If you're interested in my inquiry results, I also would share them
here on the list.
I'm interested, if you're using fsl tools and especially melodic
(or other ICA tools) for that.
We are currently working on motion QA using python for
website-embedded video reports (and already using mcflirt parameters),
normalization results with reports of different slices and
their overlap with MNI template.
In automated artefact detection, we're at the moment focussing on
ghosting, spikes and zipper artefacts.
For quantified checks, we're propably will be using tSNR for EPI
sequences, SNR for structural images. Since I'm just a beginner
in the neuroscience field and the project has been started,
thats all I can tell you right now :)
One thing to share which I also need to look through is the CBS QA:
http://cbs.fas.harvard.edu/science/core-facilities/neuroimaging/information-investigators/qc
Thanks in advance,
Matthias
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