Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-04-005 ISMRM Abstract

5D Free-running CMR Reconstruction with Motion-Resolved Convolutional Gated Recurrent Network (MR-CGRNet)

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Cardiovascular - Heart Failure
560-04-005 · Automated Cardiovascular MRI · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row A
Keywords: Deep learning reconstruction Unrolled Networks and Reconstruction Free-running MRI Whole-heart MRI Non-Cartesian reconstruction
Accepted
Yitong Yang1, Jérôme Yerly2,3, Davide Piccini4, Matthias Stuber3,5, John Oshinski 1,6
1Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, United States of America
2CHUV | Lausanne University Hospital, Switzerland
3Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
4Siemens Healthcare srl, Milano, Italy
5University Hospital Lausanne, Switzerland
6Radiology & Imaging Sciences, Emory University, Atlanta, United States of America
Presenting Author: John Oshinski

Synopsis

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References

1. Roy, Christopher W., Lorenzo Di Sopra, Kevin K. Whitehead, Davide Piccini, Me Yerly, John Heerfordt, Reena M. Ghosh, Mark A. Fogel, and Matthias Stuber. "Free-running cardiac and respiratory motion-resolved 5D whole-heart coronary cardiovascular magnetic resonance angiography in pediatric cardiac patients using ferumoxytol." Journal of Cardiovascular Magnetic Resonance 24, no. 1 (2022): 39. https://doi.org/10.1186/s12968-022-00871-3 [doi]
2. Di Sopra, Lorenzo, Davide Piccini, Simone Coppo, Matthias Stuber, and Jérôme Yerly. "An automated approach to fully self‐gated free‐running cardiac and respiratory motion‐resolved 5D whole‐heart MRI." Magnetic resonance in medicine 82, no. 6 (2019): 2118-2132. doi: 10.1002/mrm.27898. [doi]
3. Feng, Li, Leon Axel, Hersh Chandarana, Kai Tobias Block, Daniel K. Sodickson, and Ricardo Otazo. "XD‐GRASP: golden‐angle radial MRI with reconstruction of extra motion‐state dimensions using compressed sensing." Magnetic resonance in medicine 75, no. 2 (2016): 775-788. doi: 10.1002/mrm.25665. [doi]
4. Küstner, Thomas, Niccolo Fuin, Kerstin Hammernik, Aurelien Bustin, Haikun Qi, Reza Hajhosseiny, Pier Giorgio Masci et al. "CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions." Scientific reports 10, no. 1 (2020): 13710. https://doi.org/10.1038/s41598-020-70551-8 [doi]
5. Borsos, Kevin B., Augustin C. Ogier, Christopher W. Roy, Ludovica Romanin, Matthias Stuber, Milan Prsa, Thomas Küstner, and Jérôme Yerly. "Efficient deep-learning-based reconstruction of Ferumoxytol-enhanced whole-heart 5D cardiac MRI." ISMRM 2025.
6. Piccini, Davide, Arne Littmann, Sonia Nielles‐Vallespin, and Michael O. Zenge. "Spiral phyllotaxis: the natural way to construct a 3D radial trajectory in MRI." Magnetic resonance in medicine 66, no. 4 (2011): 1049-1056. https://doi.org/10.1002/mrm.22898 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-04-005