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Quality assessment software tools | Magnetic resonance imaging analysis

Quality control of MRI is essential for excluding problematic acquisitions and avoiding bias in subsequent image processing and analysis. Visual inspection is subjective and impractical for large scale datasets. Although automated quality assessments have been demonstrated on single-site datasets, it is unclear that solutions can generalize to unseen data acquired at new sites.

Source text:
(Esteban et al., 2017) MRIQC: Advancing the Automatic Prediction of Image Quality in MRI from Unseen Sites. Nat Neurosci.


 

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