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Abstract #0247

Fully Automated Data Management and Quality Assurance in Very Large Prospective Cohort MR Imaging Studies – the MR Imaging Study within the German National Cohort

Jochen G. Hirsch1, Alexander Köhn1, Daniel C. Hoinkiss1, Jonas Peter1, Andreas Thomsen1, Matthias Günther1,2, and the German National Cohort MRI Study Investigators3

1Fraunhofer MEVIS, Bremen, Germany, 2University Bremen, Bremen, Germany, 3NAKO MR Imaging Core, Munich, Germany

We present a fully automated data management workflow and quality assurance, which is set up for large, multicentric cohort studies including whole-body MR imaging. The workflow includes a modality worklist, exam-synchronous DICOM transfer to centralized storage, quality control of MR acquisition, various image-based quality measures, web-based radiological image review for incidental findings, visual quality scores, as well as long-term archiving. This workflow, implemented in the MRI Study of the German National Cohort, enables to acquire and process more than 30 whole-body MRI scans per day, available for IF reading within 4 hours. Deviations, outliers, technical failures are pointed out on-the-fly.

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