English

Robust reconstruction of cardiac T1 maps using RNNs

Image and Video Processing 2019-07-30 v1
Authors: Nicola Martini , Alessio Vatti , Andrea Ripoli , Sara Salaris , Gianmarco Santini , Maria Filomena Santarelli , Dante Chiappino , Daniele Della Latta
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Abstract

Cardiac magnetic resonance parametric T1 maps are typically reconstructed using non-linear fitting. 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.

Keywords

cardiac t1 mapping recurrent neural network parametric mapping non-linear fitting fast reconstruction robust reconstruction

Cite

@article{arxiv.1907.12454,
  title  = {Robust reconstruction of cardiac T1 maps using RNNs},
  author = {Nicola Martini and Alessio Vatti and Andrea Ripoli and Sara Salaris and Gianmarco Santini and Maria Filomena Santarelli and Dante Chiappino and Daniele Della Latta},
  journal= {arXiv preprint arXiv:1907.12454},
  year   = {2019}
}

Comments

4 pages, 1 figure, Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track [arXiv:1907.08612]

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