Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
468-06-004 ISMRM Abstract

Fast Radial Cine MRI with View Sharing and ML Regridding

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Interventional - MR-Guided Radiotherapy
468-06-004 · Acquisition and Reconstruction Strategies for Dynamic and Cardiac Imaging · Tuesday, 12 May, 4:55 PM–5:50 PM · Digital Posters Row I
Keywords: AI/ML Image Reconstruction Low-Field MRI MR-Guided Radiotherapy Radial MRI Cardiac Cine MRI
Accepted
Beatrice Villata 1,2, Rabea Klaar2,3, Johanna Topalis2,4,5, Moritz Rabe6, Christopher Kurz1,6, Guillaume Landry1,6, Michael Ingrisch1,2,4,5, Olaf Dietrich2
1Bavarian Cancer Research Center (BZKF), Munich, Germany
2Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
3Comprehensive Pneumology Center (CPC-M), German Center for Lung Research (DZL), Munich, Germany
4relAI – Konrad Zuse School of Excellence in Reliable AI, Garching, Germany
5MCML - Munich Center for Machine Learning, Munich, Germany
6Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
Presenting Author: Beatrice Villata

Synopsis

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References

1. Pipe JG. Reconstructing MR images from undersampled data: Data-weighting considerations. Magn Reson Med. 2000;43(6):867–875. doi:10.1002/1522-2594(200006)43:6<867::AID-MRM13>3.0.CO;2-2. [doi]
2. Topalis J, Dexl J, Jeblick K, Klaar R, Kurz C, Löhr T, et al. Fast machine learning image reconstruction of radially undersampled k-space data for low-latency real-time MRI. PLoS ONE. 2025;20(10):e0334604. https://doi.org/10.1371/journal.pone.0334604 (accepted) [doi]
3. J. Deng, W. Dong, R. Socher, L. -J. Li, Kai Li and Li Fei-Fei, "ImageNet: A large-scale hierarchical image database," 2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA, 2009, pp. 248-255, doi: 10.1109/CVPR.2009.5206848. [doi]
4. Klüter S. Technical design and concept of a 0.35 T MR-Linac. Clin Transl Radiat Oncol. 2019;18:98–101. doi:10.1016/j.ctro.2019.04.007 [doi]
5. Zhou Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," in IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, April 2004, doi: 10.1109/TIP.2003.819861. [doi]
6. Hansen MS, Sørensen TS. Gadgetron: An open source framework for medical image reconstruction. Magn Reson Med. 2013;69(6):1768–1776. doi:10.1002/mrm.24389 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/468-06-004