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. 2020 Aug 13;10:13710. doi: 10.1038/s41598-020-70551-8

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Quantitative contrast ratio analysis between myocardium and left + right ventricular blood pool averaged over apical, mid-apical and basal slices of a cohort of 20 healthy subjects and 15 patients. Comparison between conventional multi breath-hold 2D CINE, single breath-hold 3D CINE acquired with prospective undersampling of 9× (scan time 12 s), 11× (scan time 10 s), 12× (scan time 10 s) and 15× (scan time 7 s) and reconstructed with Compressed Sensing (CS) for L1-regularized spatial wavelets and temporal total variation and the proposed 4D CINENet. Average and standard deviations are depicted. Statistical differences (p < 0.05) are indicated by *. No statistical difference occurs between 2D CINE and 3D CINENet, except at acceleration factor 15×. Figure was created using Python 3.6 and Matplotlib 3.2.2⁴⁵.