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Description
Implementation of additional QC parameters. Also make a priority list on these.
- CBF
- GM/WM ratio
- WM/CSF ratio
- Absolute based on population average (Std dev)
- Anterior-posterior asymmetry
- Vascular territory asymmetry
- Left-right asymmetry
- Motion
- sCoV
- Global
- Left-right asymmetry
- Anterior-posterior asymmetry
- Vascular territory asymmetry
- SCORE (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5332532/)
- Initial step of absolute GM CBF based on population average and Std dev
- Second step of determining which subjects show highest correlation with mean CBF-template, and decrease the population-average within-tissue CBF variance and removing them (I suggest adding a threshold for the minimal variance-change required)
Requirements
There are two ways to approach this:
- Include QC in step 7 of the Population module:
ROI statistics - Create a new step in the Population module
Either way, I suggest adding a parameter in dataPar.json allowing for the selection of QC parameters. Furthermore, a new 'ASL_QC' folder in the Population folder (or in the ASL_check folder) that contains .csv files of every QC, similar to the stats folder
How to test
Optional: insert description about how to test the code changes here
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