Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
570-03-185 ISMRM Abstract

2D to 3D MR Image Super-Resolution using Cross-Contrast Guidance

Primary: Acquisition & Reconstruction - AI methods
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
570-03-185 · AI Methods · Wednesday, 13 May, 9:15 AM–10:10 AM · Traditional Posters | Exhibition Hall
Keywords: Multi-Contrast Deep learning Super Resolution
Accepted
Zheng Zhang1,2, Zechen Zhou 1, Lei Xiang1, Ajit Shankaranarayanan1, Xinyu Song3, Yuehua Li3
1Subtle Medical Inc, Menlo Park, United States of America
2University of Surrey, Surrey, United Kingdom
3Department of Radiology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
Presenting Author: Zechen Zhou

Synopsis

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References

1. 1. J. Kim, J. K. Lee and K. M. Lee, “Accurate image super-resolution using very deep convolutional networks,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 27-30 June 2016, pp. 1646-1654. doi:10.1109/CVPR.2016.182. [doi]
2. 2. Y. Li, T. Zhou, K. He, Y. Zhou and D. Shen, “Multi-scale Transformer Network with edge-aware pre-training for cross-modality MR image synthesis,” IEEE Transactions on Medical Imaging, vol. 42, no. 11, pp. 3395-3407, Nov. 2023. doi:10.1109/TMI.2023.3288001. [doi]
3. 3. S. W. Zamir, A. Arora, S. Khan, M. Hayat, F. S. Khan and M. H. Yang, “Restormer: Efficient Transformer for high-resolution image restoration,” in Proc. IEEE/CVF CVPR 2022, New Orleans, LA, USA, 19-24 June 2022, pp. 5718-5729. doi:10.1109/CVPR52688.2022.00564. [doi]
4. 4. P. Lei, F. Fang, G. Zhang and M. Xu, “Deep unfolding convolutional dictionary model for multi-contrast MRI super‐resolution and reconstruction,” in Proc. Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), 2023, pp. 1008-1016. doi:10.24963/IJCAI.2023.112. [doi]
5. 5. J. Y. Zhu, T. Park, P. Isola and A. A. Efros, “Unpaired image-to-image translation using cycle-consistent adversarial networks,” in Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 22-29 October 2017, pp. 2223-2232. doi:10.1109/ICCV.2017.244. [doi]
6. 6. Y. He, V. Nath, D. Yang, Y. Tang, A. Myronenko and D. Xu, “SwinUNETR V2: Stronger Swin transformers with stage-wise convolutions for 3D medical image segmentation,” in MICCAI 2023, Springer, 2023, pp. 416-426. doi:10.1007/978-3-031-42971-1_37. [doi]

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http://echo.ismrm.org/p/ISMRM2026/570-03-185