Imperial College London
Alternate

ProfessorDanielRueckert

Faculty of Engineering, Department of Computing

Professor of Visual Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Tarroni:2020,
author = {Tarroni, G and Bai, W and Oktay, O and Schuh, A and Suzuki, H and Glocker, B and Matthews, P and Rueckert, D},
journal = {Scientific Reports},
title = {Large-scale quality control of cardiac imaging in population studies: application to UK Biobank},
url = {http://hdl.handle.net/10044/1/76571},
volume = {10},
year = {2020}
}
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RIS format (EndNote, RefMan)

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  -
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