Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank
Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank
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DOI：
10.1038/s41598-020-58212-2
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发表时间：
2020-02-12
影响因子：
4.6
通讯作者：
Rueckert, Daniel
中科院分区：
文献类型：
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作者：
Tarroni, Giacomo;Bai, Wenjia;Rueckert, Daniel
在大型人群研究中，如英国生物样本库（UKBB），通过目视评估对采集的图像进行质量控制是不可行的。在本文中，我们将最近开发的用于心脏MR（CMR）图像的全自动质量控制管道应用于来自UKBB的前19，265个短轴（SA）电影堆栈。我们提出了三个估计的质量指标（心脏覆盖率，切片间运动和图像对比度在心脏区域）的结果，以及他们的潜在关联因素，包括采集细节和受试者相关的表型。高达14.2%的分析SA堆栈具有次优覆盖（即缺失基底和/或顶端切片），但其中大多数仅限于采集的第一年。高达16%的堆栈受到明显的层间运动（即平均层间未对准大于3.4 mm）的影响。层间运动与体重和体表面积呈正相关。只有2.1%的堆栈的平均舒张末期心脏图像对比度低于动态范围的30%。这些发现对于参与UKBB CMR采集的科学家和将数据集用于研究目的的科学家来说都非常有价值。
In large population studies such as the UK Biobank (UKBB), quality control of the acquired images by visual assessment is unfeasible. In this paper, we apply a recently developed fully-automated quality control pipeline for cardiac MR (CMR) images to 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 factors including 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 the stacks were affected by noticeable inter-slice motion (i.e. average inter-slice misalignment greater than 3.4 mm). Inter-slice motion was positively correlated with weight and body surface area. Only 2.1% of the stacks had an average end-diastolic cardiac image contrast below 30% of the dynamic range. These findings will be highly valuable for both the scientists involved in UKBB CMR acquisition and for the ones who use the dataset for research purposes.