Automated image quality assessment for selecting among multiple magnetic resonance image acquisitions in the German National Cohort study.

ABSTRACT: In magnetic resonance imaging (MRI), the perception of substandard image quality may prompt repetition of the respective image acquisition protocol. Subsequently selecting the preferred high-quality image data from a series of acquisitions can be challenging. An automated workflow may facilitate and improve this selection. We therefore aimed to investigate the applicability of an automated image quality assessment for the prediction of the subjectively preferred image acquisition. Our analysis included data from 11,347 participants with whole-body MRI examinations performed as part of the ongoing prospective multi-center German National Cohort (NAKO) study. Trained radiologic technologists repeated any of the twelve examination protocols due to induced setup errors and/or subjectively unsa

SUBMITTER: Schuppert C 

PROVIDER: S-EPMC10733361 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature