the results of this survey are intrinsically public, at this page
http://www.albaspace.org/public/ica_survey/
you can score the components, see the mean value and see "who scored how"
so for example users can over-estimate your scores and under-estimate mine.
actually this is a melodic decomposition of an event-related task (stroop-like, with faces, words and button press)
with the aim to remove sure/only noise component from the signal before FEAT analysis.
so the denoising should be quite conservative (keep what could contain some signal)
in order to provide more details than signal/noise information, for strange pattern, i let you define a score (with a 0-100 range) for each component
100 signal...
0 noise.
50 i don't know
concerning the possibility to classify artefact according to unique keys, well....I thought to do it
actually I was waiting for some interest in this and/or an help in defining the possible artefact types.
according to melodic lecture on your web site there are:
slice drop-outs
gradient instability
EPI ghost
head motion
field inhomogeneity
eye-related artefacts
but there is only one image for each type, not so clear and of a phenomena that highly varies among scanners, sequences and subjects .....
that's why i created this survey, provide more cases and let user add their knowledge
P.S.
if you or the FSL community could give me a full list of these artefact (for example I would add: heart beat-related bold changes..but i'm not always sure to recognize it)
i will be very pleased to add this feature.
also I could post more examples or host other community data
i think it could be a fast and powerful way to understand bold signal
cheers
Alberto
|