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Study overview. (A) The retrospectively collected dataset is divided into three subsets: training, validation, and testing. (B-C) The input to the neural network is 4 T1-weighted images and four inversion times. FC uses pixel-wise values as the input, while convolutional neural networks use the whole image. (D-F) Study design for evaluation of MyoMapNet in the retrospective dataset and the prospectively accelerated LL4 myocardial T1 mapping sequence in four heartbeats.
