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Matthias- It's also worth looking at the fBIRN Automated QA pipeline, particularly the fmriqa_generate.pl script. https://xwiki.nbirn.org:8443/bin/view/Function-BIRN/AutomatedQA -Peter On Fri, 7 Feb 2014 18:26:49 +0100, Matthias Heil <[log in to unmask]> wrote: >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