Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
507-02-008 ISMRM Abstract

Flowdiff: Cardiac Cine Frame Interpolation Combining Optical Flow and Diffusion Models

Primary: Analysis Methods - Generative Models
Secondary: Cardiovascular - Myocardium
507-02-008 · Generative Modeling: A Unifying Lens on MRI · Wednesday, 13 May, 8:20 AM–10:10 AM · Meeting Room 1.40
Keywords: Cardiac Cine MRI Latent diffusion model Frame Interpolation Bilateral Flow Estimation
Accepted
Zhaochi Wen 1,2, Jing Cheng2,3, Daisong Gan2,4,5, Yuliang zhu2,5, Dong Liang3,5,6
1School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
2State Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, Shen Zhen, China
3Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
4Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
5Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
6State Key Laboratory of Biomedical Imaging Science and System, Shenzhen, China
Presenting Author: Zhaochi Wen

Synopsis

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References

1. Hor K N, Baumann R, Pedrizzetti G, et al. Magnetic resonance derived myocardial strain assessment using feature tracking[J]. Journal of visualized experiments: JoVE, 2011 (48): 2356. DOI: 10.3791/2356 [doi]
2. McVeigh E R, Pourmorteza A, Guttman M, et al. Regional myocardial strain measurements from 4DCT in patients with normal LV function[J]. Journal of cardiovascular computed tomography, 2018, 12(5): 372-378. DOI: 10.1016/j.jcct.2018.05.002 [doi]
3. Danier D, Zhang F, Bull D. Ldmvfi: Video frame interpolation with latent diffusion models[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(2): 1472-1480. https://doi.org/10.1609/aaai.v38i2.27912 [doi]
4. Zhang Z, Chen H, Zhao H, et al. Eden: Enhanced diffusion for high-quality large-motion video frame interpolation[C]//Proceedings of the Computer Vision and Pattern Recognition Conference. 2025: 2105-2115. DOI:10.1109/CVPR52734.2025.00202 [doi]
5. Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[J]. Advances in neural information processing systems, 2017, 30. https://doi.org/10.48550/arXiv.1706.03762 [doi]
6. Bernard O, Lalande A, Zotti C, et al. Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?[J]. IEEE transactions on medical imaging, 2018, 37(11): 2514-2525. DOI: 10.1109/TMI.2018.2837502 [doi]
7. Balakrishnan G, Zhao A, Sabuncu M R, et al. An unsupervised learning model for deformable medical image registration[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 9252-9260. DOI 10.1109/CVPR.2018.00964 [doi]
8. Wolterink J M, Zwienenberg J C, Brune C. Implicit neural representations for deformable image registration[C]//International Conference on medical imaging with deep learning. PMLR, 2022: 1349-1359.
9. Wei T T, Kuo C, Tseng Y C, et al. Mpvf: 4d medical image inpainting by multi-pyramid voxel flows[J]. IEEE Journal of Biomedical and Health Informatics, 2023, 27(12): 5872-5882. DOI: 10.1109/JBHI.2023.3318127 [doi]
10. Kim J E, Yoon H, Park G, et al. Data-efficient unsupervised interpolation without any intermediate frame for 4d medical images[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024: 11353-11364. DOI 10.1109/CVPR52733.2024.01079 [doi]

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http://echo.ismrm.org/p/ISMRM2026/507-02-008