An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging

Author:

Chang Qi,Yan Zhennan,Ye Meng,Mikael Kanski,Al’Aref Subhi,Axel Leon,Metaxas Dimitris N.

Publisher

Springer International Publishing

Reference21 articles.

1. Biffi, C., et al.: 3D high-resolution cardiac segmentation reconstruction from 2D views using conditional variational autoencoders. In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pp. 1643–1646. IEEE (2019)

2. Cavalcante, J.L., Lalude, O.O., Schoenhagen, P., Lerakis, S.: Cardiovascular magnetic resonance imaging for structural and valvular heart disease interventions. JACC: Cardiovasc. Interv. 9(5), 399–425 (2016)

3. Chandler, A.G., et al.: Correction of misaligned slices in multi-slice cardiovascular magnetic resonance using slice-to-volume registration. J. Cardiovasc. Magn. Reson. 10(1), 1–9 (2008)

4. Fonseca, C.G., et al.: The cardiac atlas project-an imaging database for computational modeling and statistical atlases of the heart. Bioinformatics 27(16), 2288–2295 (2011)

5. Glorot, X., Bordes, A., Bengio, Y.: Deep sparse rectifier neural networks. In: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, pp. 315–323 (2011)

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