Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-06-004 ISMRM Abstract

Automatic Detection of L-spine Intervertebral Disc Degeneration (IVDD) at 0.05 Tesla via Deep Learning

Primary: Physics & Engineering - Low-Field MRI
Secondary: Analysis Methods - Classification and Prediction
560-06-004 · AI Image Processing · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row A
Keywords: Deep learning Ultra-Low-Field MRI Intervertebral disc degeneration
Accepted
Junhao Zhang1,2, Yujiao Zhao1,2, Vick Lau1,2, Jiahao Hu1,2, Shi Su1,2, Ye Ding1,2, Alex T. L. Leong 1,2, Ed X Wu1,2
1Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China
2Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, China
Presenting Author: Alex T. L. Leong

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References

1. Wang M, Tsang A, Tam V, Chan D, Cao P, Wu EX. Multiparametric MR investigation of proteoglycan diffusivity, T2 relaxation, and concentration in an ex vivo model of intervertebral disc degeneration. Journal of Magnetic Resonance Imaging 2020;51(5):1390-1400.
2. Wassenaar M, van Rijn RM, van Tulder MW, Verhagen AP, van der Windt DA, Koes BW, de Boer MR, Ginai AZ, Ostelo RW. Magnetic resonance imaging for diagnosing lumbar spinal pathology in adult patients with low back pain or sciatica: a diagnostic systematic review. European spine journal 2012;21(2):220-227.
3. Zhao Y, Ding Y, Lau V, Man C, Su S, Xiao L, Leong AT, Wu EX. Whole-body magnetic resonance imaging at 0.05 Tesla. Science 2024;384(6696):eadm7168.
4. Liu Y, Leong AT, Zhao Y, Xiao L, Mak HK, Tsang ACO, Lau GK, Leung GK, Wu EX. A low-cost and shielding-free ultra-low-field brain MRI scanner. Nature Communications 2021;12(1):7238.
5. Man C, Lau V, Su S, Zhao Y, Xiao L, Ding Y, Leung GK, Leong AT, Wu EX. Deep learning enabled fast 3D brain MRI at 0.055 tesla. Science Advances 2023;9(38):eadi9327.
6. Lau V, Xiao L, Zhao Y, Su S, Ding Y, Man C, Wang X, Tsang A, Cao P, Lau GK. Pushing the limits of low‐cost ultra‐low‐field MRI by dual‐acquisition deep learning 3D superresolution. Magnetic resonance in medicine 2023;90(2):400-416.
7. Marcel S, Rodriguez Y. Torchvision the machine-vision package of torch. In: Proceedings of the 18th ACM international conference on Multimedia, 2010, p 1485-1488.
8. Sun X, Wu P, Hoi SC. Face detection using deep learning: An improved faster RCNN approach. Neurocomputing 2018;299:42-50.
9. Richards TJ, Flanders AE, Colak E, Prevedello LM, Ball RL, Kitamura F, Mongan J, Vazirabad M, Lin H-M, Kendell A. The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset. arXiv preprint arXiv:250609162 2025.
10. Zhao Y, Xiao L, Liu Y, Leong AT, Wu EX. Electromagnetic interference elimination via active sensing and deep learning prediction for radiofrequency shielding‐free MRI. NMR in Biomedicine 2024;37(7):e4956.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-06-004