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Fig. 6 | Journal of Cardiovascular Magnetic Resonance

Fig. 6

From: Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Fig. 6

RCA Application on 7250 Cardiac MRI segmentations of UKBB Imaging Study. 7,250 cardiac MRI segmentations generated with a multi-atlas segmentation approach [18]. Manual QC scores given in the range [0 6] (i.e. [0 2] for each of basal, mid and apical slices). RCA with single-atlas classifier was used to predict the Dice Similarity Coefficient (DSC), mean surface distance (MSD), root mean-squared surface distance (RMS) and Hausdorff distance (HD). All calculations on the LV Myocardium binary classification task. We show correlation in all metrics. Examples show: a) and b) agreement between low predicted DSC and low manual QC score, c) successful automated identification of poor segmentation with low predicted DSC despite high manual QC score and d) agreement between high predicted DSC and high manual QC score. Inserts in top row display extended range of y-axis

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