Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
507-02-007 ISMRM Abstract

FIRE-integrated CineGen: inline conditional flow-matching super-resolution for real-time Cine MRI

Primary: Cardiovascular - Myocardium
Secondary: Acquisition & Reconstruction - AI methods
507-02-007 · Generative Modeling: A Unifying Lens on MRI · Wednesday, 13 May, 8:20 AM–10:10 AM · Meeting Room 1.40
Keywords: Super-resolution Cardiac Cine MRI Flow-matching Inline
Accepted
Changyu Sun1,2, Yu Wang1, Lei Jiang3, John Grinstead3, Kelvin Chow3, Xiaoming Bi 3, Samantha Baxter2, Senthil Kumar4, Talissa Altes2
1Department of Chemical and Biomedical Engineering, University of Missouri, Columbia, United States of America
2Department of Radiology, University of Missouri, Columbia, United States of America
3Siemens Medical Solutions USA, Inc., Malvern, United States of America
4Department of Medicine, University of Missouri, Columbia, United States of America
Presenting Author: Xiaoming Bi

Synopsis

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References

1. Curione D, Ciliberti P, Monti CB, Capra D, Bordonaro V, Ciancarella P, Santangelo TP, Napolitano C, Ferrara D, Perrone MA, Secchi F, Secinaro A. Compressed Sensing Cardiac Cine Imaging Compared with Standard Balanced Steady-State Free Precession Cine Imaging in a Pediatric Population. Radiol Cardiothorac Imaging 2022;4(2):e210109. doi: 10.1148/ryct.210109 [doi]
2. Yoon S, Nakamori S, Amyar A, Assana S, Cirillo J, Morales MA, Chow K, Bi X, Pierce P, Goddu B, Rodriguez J, L HN, W JM, Nezafat R. Accelerated Cardiac MRI Cine with Use of Resolution Enhancement Generative Adversarial Inline Neural Network. Radiology 2023;307(5):e222878. doi:10.1148/radiol.222878. [doi]
3. Sun C, Thornburgh C, Wang Y, Kumar S, Altes TA. TagGen: Diffusion-based generative model for cardiac MR tagging super resolution. Magn Reson Med 2025;94(1):362–372. doi: 10.1002/mrm.30422 [doi]
4. Sun C, Goyal N, Wang Y, Tharp DL, Kumar S, Altes TA. Conditional diffusion-generated super-resolution for myocardial perfusion MRI. Front Cardiovasc Med 2025;12:1499593. doi: 10.3389/fcvm.2025.1499593 [doi]
5. Lipman Y, Chen RTQ, Ben-Hamu H, Nickel M, Le M. Flow Matching for Generative Modeling 2023. https://doi.org/10.48550/arXiv.2210.02747 [doi]
6. Chow K, Kellman P, Xue H. Prototyping image reconstruction and analysis with FIRE. SCMR 24th Annual Scientific Sessions. Virtual Meeting 2021.
7. Bandettini WP, Shanbhag SM, Mancini C, McGuirt DR, Kellman P, Xue H, Henry JL, Lowery M, Thein SL, Chen MY, Campbell-Washburn AE. A comparison of cine CMR imaging at 0.55 T and 1.5 T. J Cardiovasc Magn Reson 2020;22(1):37. doi: 10.1186/s12968-020-00618-y. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/507-02-007