Hi,
I’ve got ASL data that consists of a deltam and m0scan images (output from a GE scanner).
I’ve tried running aslprep on my data, but the output doesn’t make much sense - CBF values in the thousands and very poor QEI score.
Would appreciate any insights or tips on working with this type of data, or any alternative analysis pipelines.
Thanks,
Darya
@daryaf the GE product ASL sequences stored the derived subtraction images rather than the raw ASL images. You might want to generate an issue on the ASLprep github page, but it looks to me like they expect raw images. You may want to explore GE research ASL sequences.
@mr-jaemin may also have thoughts.