TY - JOUR AB - In large population studies such as the UK Biobank (UKBB), quality control of the acquired images by visual assessment isunfeasible. In this paper, we apply a recently developed fully-automated quality control pipeline for cardiac MR (CMR) imagesto the first 19,265 short-axis (SA) cine stacks from the UKBB. We present the results for the three estimated quality metrics(heart coverage, inter-slice motion and image contrast in the cardiac region) as well as their potential associations with factorsincluding acquisition details and subject-related phenotypes. Up to 14.2% of the analysed SA stacks had sub-optimal coverage(i.e. missing basal and/or apical slices), however most of them were limited to the first year of acquisition. Up to 16% of thestacks were affected by noticeable inter-slice motion (i.e. average inter-slice misalignment greater than 3.4 mm). Inter-slicemotion was positively correlated with weight and body surface area. Only 2.1% of the stacks had an average end-diastoliccardiac image contrast below 30% of the dynamic range. These findings will be highly valuable for both the scientists involvedin UKBB CMR acquisition and for the ones who use the dataset for research purposes. AU - Tarroni,G AU - Bai,W AU - Oktay,O AU - Schuh,A AU - Suzuki,H AU - Glocker,B AU - Matthews,P AU - Rueckert,D PY - 2020/// SN - 2045-2322 TI - Large-scale quality control of cardiac imaging in population studies: application to UK Biobank T2 - Scientific Reports UR - http://hdl.handle.net/10044/1/76571 VL - 10 ER -