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. 2020 Feb 25;7:17. doi: 10.3389/fcvm.2020.00017

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Copyright © 2020 Bustin, Fuin, Botnar and Prieto.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Comparison of reconstructed 2D cardiac cine MR image sequences employing Dictionary Learning with Temporal Gradient (DLTG) (62) and CascadeNet (CNN-S) (76), from one representative healthy subject with retrospectively undersampling. (A) Ground truth fully-sampled cine MR image, (B) 9x retrospectively undersampled acquisition, (C,D) CascadeNet reconstruction with data sharing and its error map, (E,F) CascadeNet reconstruction without data sharing (CNN) and its error map, (G,H) DLTG reconstruction and its error map. Red ellipses highlight the anatomy that was reconstructed better by CNN than DLTG.