Robust reconstruction of cardiac T1 maps using RNNsDownload PDF

Apr 17, 2019 (edited Jun 13, 2019)MIDL 2019 Conference Abstract SubmissionReaders: Everyone
  • Keywords: RNN, T1 mapping, non-linear fitting, MRI
  • TL;DR: We propose a Deep Learning technique based on recurrent networks (RNNs) as an alternative method for the reconstruction of parametric maps in cardiac T1 mapping.
  • Abstract: Cardiac magnetic resonance parametric T1 maps are typically reconstructed using non-linear tting. However this method has limitations due to the high computational cost and robustness. In this study, a recurrent neural network (RNN) is proposed for the robust and fast reconstruction of cardiac T1 maps.
  • Code Of Conduct: I have read and accept the code of conduct.
  • Remove If Rejected: Remove submission from public view if paper is rejected.
3 Replies