基于RNN的心脏T1图鲁棒重建
图像与视频处理
2019-07-30 v1
摘要
心脏磁共振参数化T1图通常使用非线性拟合进行重建。然而，该方法由于较高的计算成本和鲁棒性问题而存在局限。在本研究中，提出了一种循环神经网络（RNN）用于心脏T1图的鲁棒且快速重建。
引用
@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}
}
备注
4 pages, 1 figure, Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track [arXiv:1907.08612]