Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
568-06-004 ISMRM Abstract

Self-Supervised Physics-Guided Reconstruction for 3D Automatic Landmarking

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Acquisition & Reconstruction - Image Reconstruction: Non-AI
568-06-004 · Image Reconstruction II · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row I
Keywords: Physics-driven Deep Learning Self-supervised learning 3D EasyScan 3D Automatic Landmarking
Accepted
Hanrui Shi1, XIN TANG2, Hongyi Gu3, Feng Fang3, Jian Xu3, Qi Liu 3, Hongyu Li3
1Electrical & Computer Engineering, University of Washington, Seattle, United States of America
2United Imaging Healthcare, Shanghai, China
3United Imaging Healthcare North America, Houston, United States of America
Presenting Author: Qi Liu

Synopsis

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References

1. Küstner, Thomas, et al. "CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions." Scientific reports 10.1 (2020): 13710.
2. Kang, Yeseul, et al. "Deep learning-based reconstruction for three-dimensional volumetric brain MRI: a qualitative and quantitative assessment." BMC Medical Imaging 25.1 (2025): 102.
3. Zeng, Gushan, et al. "A review on deep learning MRI reconstruction without fully sampled k-space." BMC Medical Imaging 21.1 (2021): 195.
4. Yiasemis, George, et al. "Joint Supervised and Self-supervised Learning for MRI Reconstruction." Medical Imaging with Deep Learning.
5. Yaman, Burhaneddin, et al. "Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data." Magnetic resonance in medicine 84.6 (2020): 3172-3191
6. Li, Xinzhen, et al. "Self-supervised learning for MRI reconstruction: a review and new perspective." Magnetic Resonance Materials in Physics, Biology and Medicine (2025): 1-22.
7. Yaman, Burhaneddin, et al. "Multi‐mask self‐supervised learning for physics‐guided neural networks in highly accelerated magnetic resonance imaging." NMR in Biomedicine 35.12 (2022): e4798.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/568-06-004