# Tractography QC Meeting Sept 16, 2021 ## Discussion Items - how to do QC? - summer students viewed example anatomical tracts from the [ORG Atlas](https://www.youtube.com/watch?v=aINJeYvIPcE) and compared to subject-specific tracts - standardizing QC notes - OPT: 1 (good), 2 (minor issues), 3 (major issue) - SPINS/SPIN-ASD: Missing, Poor (minor issue), Error (major issue) - biologically unfeasible tract - exclusion criteria/cutoffs based on visual or quantitative QC - might be dataset specific - when to exclude subject/tract? - OPT: Denise's QC on major issues might have been too strict; excluding all "3" ratings would remove too much - SPINS: if participant missing/poor n tracts (maybe 10), automatically excluded; if missing/poor more than 2 tracts of interest, also excluded - when to try re-running subject? - are there specific tracts that fail across studies and might not be reliable? - should we correct tracts output by whitematteranalysis - filtering when too many fibers present - SPINS: filtered fiber count being too high/low beyond 4 sd - ![](https://i.imgur.com/qD6SazS.png) - introducing waypoints or ROIs to remove fibers from a specific region - pair WMA with small corrections to the data as required - ![](https://i.imgur.com/gV9ZCfm.png) - other measures to consider - bundle profiles along tract - ![](https://i.imgur.com/8JMijPr.png) - ROI Atlases to use - [easy lausanne](https://github.com/mattcieslak/easy_lausanne) breaks up DKT atlas into smaller chunks - interpolating missing data - interpret on the basis of other proximal tracts (Catani paper) ## Action Items - check correspondence between eddy_quad excluded subjects and wma excluded subjects - calculate fd from eddy_quad metrics - get subjects that need to be re-run -