Impairment of the pancreas has been shown in initial findings of the Long COVID-19 study (COVERSCAN), that uses quantitative MRI and expert manual analysis of the pancreas. Quantitative MRI analysis in such large-scale studies benefits from the decision support made possible by advanced image analysis methods. In this work, we validate a semi-automated pancreas processing pipeline that involves manual slice selection and automated segmentation and MRI-PDFF quantification. We show good agreement of the semi-automatic method with the reference manual processing by experts, as well as repeatable quantification in a scan re-scan subset of healthy subjects within COVERSCAN (n=35).
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