A systematic review of (semi-)automatic quality control of T1-weighted MRI scans.
Janine HendriksHenk-Jan Mm MutsaertsRichard JoulesÓscar Peña-NogalesPaulo R RodriguesRobin WolzGeorge Louis BurchellFrederik BarkhofAnouk SchranteePublished in: Neuroradiology (2023)
Due to dataset-specific optimization, it is challenging to draw broad conclusions about comparative performance. Additionally, large variations exist in the used datasets and benchmarks, further hindering direct algorithm comparison. The findings emphasize the need for standardization and comparative studies for advancing QC in MR imaging. Efforts should focus on identifying a dataset-independent measure as well as algorithm-independent methods for assessing the relative performance of different approaches.