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. 2019 Jul 17;1(4):e180080. doi: 10.1148/ryai.2019180080

Metrics Comparison

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Note.—Data are medians, with interquartile ranges in parentheses. Included are the Automated Cardiac Diagnosis Challenge (ACDC), pediatric, and synthetic datasets. For all datasets, image metrics included the Dice similarity coefficient (DCS), mean squared error (MSE), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and the multiscale structural similarity metric index (MS-SSIM). Motion estimates on the synthetic dataset are compared against the ground truth by using the average end-point error (EPE). Low MSE and EPE values are considered good, whereas high values of PSNR, NCC, and MS-SSIM are better. P values are relative to the method and were obtained by using two-sided Wilcoxon signed-rank tests. ITK = Insight Segmentation and Registration Toolkit.

*Indicates that cardiac motion estimation network (CarMEN) significantly outperformed (P < .001) metric of another method.