Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
606-03-007 ISMRM Abstract

Ultra-low-field Lumbar Spine MRI at 0.05 Tesla

Accepted
Zihao Jin1,2, Vick Lau1,2, Fan Huang3, Xiang Li1,2, Ye Ding1,2, Alex T. L. Leong 1,2, Varut Vardhanabhuti3, Yujiao Zhao1,2, Ed X Wu1,2
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, China
2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China
3Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
Presenting Author: Alex T. L. Leong

Synopsis

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References

1. McDaniel PC, Cooley CZ, Stockmann JP, Wald LL. The MR Cap: A single-sided MRI system designed for potential point-of-care limited field-of-view brain imaging. Magn Reson Med 2019;82(5):1946–1960. DOI: 10.1002/mrm.27861 [doi]
2. He Y, He W, Tan L, Chen F, Meng F, Feng H, Xu Z. Use of 2.1 MHz MRI scanner for brain imaging and its preliminary results in stroke. J Magn Reson 2020;319:106829. DOI: 10.1016/j.jmr.2020.106829 [doi]
3. Sheth KN, Mazurek MH, Yuen MM, Cahn BA, Shah JT, Ward A, Kim JA, Gilmore EJ, Falcone GJ, Petersen N, Gobeske KT, Kaddouh F, Hwang DY, Schindler J, Sansing L, Matouk C, Rothberg J, Sze G, Siner J, Rosen MS, Spudich S, Kimberly WT. Assessment of Brain Injury Using Portable, Low-Field Magnetic Resonance Imaging at the Bedside of Critically Ill Patients. JAMA Neurol 2020;78(1):41–47. DOI: 10.1001/jamaneurol.2020.3263 [doi]
4. Cooley CZ, McDaniel PC, Stockmann JP, Srinivas SA, Cauley SF, Śliwiak M, Sappo CR, Vaughn CF, Guerin B, Rosen MS, Lev MH, Wald LL. A portable scanner for magnetic resonance imaging of the brain. Nat Biomed Eng 2021;5(3):229–239. DOI: 10.1038/s41551-020-00641-5 [doi]
5. O'Reilly T, Teeuwisse WM, de Gans D, Koolstra K, Webb AG. In vivo 3D brain and extremity MRI at 50 mT using a permanent magnet Halbach array. Magn Reson Med 2021;85(1):495–505. DOI: 10.1002/mrm.28396 [doi]
6. Liu Y, Leong ATL, Zhao Y, Xiao L, Mak HKF, Tsang ACO, Lau GKK, Leung GKK, Wu EX. A low-cost and shielding-free ultra-low-field brain MRI scanner. Nat Commun 2021;12(1):7238. DOI: 10.1038/s41467-021-27317-1 [doi]
7. Yushchenko M, Sarracanie M, Salameh N. Fast acquisition of propagating waves in humans with low-field MRI: Toward accessible MR elastography. Sci Adv 2022;8(36):eabo5739. DOI: 10.1126/sciadv.abo5739 [doi]
8. Yuen MM, Prabhat AM, Mazurek MH, Chavva IR, Crawford A, Cahn BA, Beekman R, Kim JA, Gobeske KT, Petersen NH, Falcone GJ, Gilmore EJ, Hwang DY, Jasne AS, Amin H, Sharma R, Matouk C, Ward A, Schindler J, Sansing L, de Havenon A, Aydin A, Wira C, Sze G, Rosen MS, Kimberly WT, Sheth KN. Portable, low-field magnetic resonance imaging enables highly accessible and dynamic bedside evaluation of ischemic stroke. Sci Adv 2022;8(16):eabm3952. DOI: 10.1126/sciadv.abm3952 [doi]
9. Zhao Y, Ding Y, Lau V, Man C, Su S, Xiao L, Leong ATL, Wu EX. Whole-body magnetic resonance imaging at 0.05 Tesla. Science 2024;384(6696):eadm7168. DOI: 10.1126/science.adm7168 [doi]
10. Hoult DI, Richards RE. The signal-to-noise ratio of the nuclear magnetic resonance experiment. 1976. J Magn Reson 2011;213(2):329–343. DOI: 10.1016/j.jmr.2011.09.018 [doi]
11. Coffey AM, Truong ML, Chekmenev EY. Low-field MRI can be more sensitive than high-field MRI. J Magn Reson 2013;237:169–174. DOI: 10.1016/j.jmr.2013.10.013 [doi]
12. Sarracanie M, Salameh N. Low-Field MRI: How Low Can We Go? A Fresh View on an Old Debate. Frontiers in Physics 2020;Volume 8 - 2020. DOI: 10.3389/fphy.2020.00172 [doi]
13. Man C, Lau V, Su S, Zhao Y, Xiao L, Ding Y, Leung GKK, Leong ATL, Wu EX. Deep learning enabled fast 3D brain MRI at 0.055 tesla. Sci Adv 2023;9(38):eadi9327. DOI: 10.1126/sciadv.adi9327 [doi]
14. Lau V, Xiao L, Zhao Y, Su S, Ding Y, Man C, Wang X, Tsang A, Cao P, Lau GKK, Leung GKK, Leong ATL, Wu EX. Pushing the limits of low-cost ultra-low-field MRI by dual-acquisition deep learning 3D superresolution. Magn Reson Med 2023;90(2):400–416. DOI: 10.1002/mrm.29642 [doi]
15. Iglesias JE, Billot B, Balbastre Y, Magdamo C, Arnold SE, Das S, Edlow BL, Alexander DC, Golland P, Fischl B. SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Sci Adv 2023;9(5):eadd3607. DOI: 10.1126/sciadv.add3607 [doi]
16. Iglesias JE, Schleicher R, Laguna S, Billot B, Schaefer P, McKaig B, Goldstein JN, Sheth KN, Rosen MS, Kimberly WT. Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning. Radiology 2023;306(3):e220522. DOI: 10.1148/radiol.220522 [doi]
17. 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 Biomed 2024;37(7):e4956. DOI: 10.1002/nbm.4956 [doi]
18. Zhao Y, Xiao L, Hu J, Wu EX. Robust EMI elimination for RF shielding-free MRI through deep learning direct MR signal prediction. Magn Reson Med 2024;92(1):112–127. DOI: 10.1002/mrm.30046 [doi]
19. Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation. In. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015; 2015, Springer International Publishing, p 234–241. DOI: 10.1007/978-3-319-24574-4_28 [doi]
20. Maggioni M, Katkovnik V, Egiazarian K, Foi A. Nonlocal transform-domain filter for volumetric data denoising and reconstruction. IEEE Trans Image Process 2013;22(1):119–133. DOI: 10.1109/TIP.2012.2210725 [doi]

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