Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
503-03-004 ISMRM Abstract

Generative diffusion bridge reconstruction for accelerated motion-compensated free-breathing abdominal MRI

Primary: Acquisition & Reconstruction - Motion Correction: Non-Neuro
Secondary: Acquisition & Reconstruction - AI methods
503-03-004 · AI: Emerging Techniques and Clinical Applications · Wednesday, 13 May, 4:00 PM–5:50 PM · Auditorium 1
Keywords: AI/ML Image Reconstruction Free-Breathing AI-Accelerated MRI Diffusion bridge Abdominal MRI
Accepted
Melanie Schellenberg 1, Richard Do2, Ricardo Otazo1,2,3
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States of America
2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, United States of America
3Memorial Sloan Kettering Cancer Center, New York, United States of America
Presenting Author: Melanie Schellenberg

Synopsis

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References

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2. Feng, L., Axel, L., Chandarana, H., Block, K.T., Sodickson, D.K. and Otazo, R., 2016. XD‐GRASP: Golden‐angle radial MRI with reconstruction of extra motion‐state dimensions using compressed sensing. Magnetic Resonance in Medicine, 75(2), pp.775-788, doi: 10.1002/mrm.25665. [doi]
3. Murray, V., Siddiq, S., Crane, C., El Homsi, M., Kim, T.H., Wu, C. and Otazo, R., 2024. Movienet: Deep space–time‐coil reconstruction network without k‐space data consistency for fast motion‐resolved 4D MRI. Magnetic Resonance in Medicine, 91(2), pp.600-614, doi: 10.1002/mrm.29892. [doi]
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5. Küstner, T., Armanious, K., Yang, J., Yang, B., Schick, F. and Gatidis, S., 2019. Retrospective correction of motion‐affected MR images using deep learning frameworks. Magnetic Resonance in Medicine, 82(4), pp.1527-1540, doi: 10.1002/mrm.27783. [doi]
6. Li, B., Xue, K., Liu, B. and Lai, Y.K., 2023. BBDM: Image-to-image translation with Brownian bridge diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1952-1961.
7. Zhu, K., Pan, M., Ma, Y., Fu, Y., Yu, J., Wang, J. and Shi, Y., 2025. UniDB: A unified diffusion bridge framework via stochastic optimal control. In Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79985-80012.
8. Arslan, F., Kabas, B., Dalmaz, O., Ozbey, M. and Çukur, T., 2025. Self-consistent recursive diffusion bridge for medical image translation. Medical Image Analysis, 106, p.103747, doi: 10.1016/j.media.2025.103747. [doi]
9. Nario, J.J.Q., Murray, V., Mekhanik, A. and Otazo, R., 2024. RANGR: Deep learning autonavigation of free-breathing golden-angle radial abdominal MRI. In Proceedings of ISMRM & ISMRT Annual Meeting & Exhibition, #2794.
10. Marchetto, E., Eichhorn, H., Gallichan, D., Schnabel, J.A. and Ganz, M., 2025. Agreement of image quality metrics with radiological evaluation in the presence of motion artifacts. Magnetic Resonance Materials in Physics, Biology and Medicine, pp.1-12, doi: 10.1007/s10334-025-01266-y. [doi]
11. Dohmen, M., Klemens, M.A., Baltruschat, I.M., Truong, T. and Lenga, M., 2025. Similarity and quality metrics for MR image-to-image translation. Scientific Reports, 15(1), p.3853, doi: 10.1038/s41598-025-87358-0. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/503-03-004