Whole-body magnetic resonance imaging at 0.05 Tesla

• 成果类型: Article
• 署名作者: Zhao, Yujiao; Ding, Ye; Lau, Vick; Man, Christopher; Su, Shi; Xiao, Linfang; Leong, Alex T. L.; Wu, Ed X.
• 署名单位: University of Hong Kong; University of Hong Kong
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-12232
• DOI: 10.1126/science.adm7168
• 发表日期: 2024-05-10
• 关键词: fatty liver-disease; medical progress; mri; nmr; claustrophobia; reconstruction; stimulation; tumors

摘要

Despite a half-century of advancements, global magnetic resonance imaging (MRI) accessibility remains limited and uneven, hindering its full potential in health care. Initially, MRI development focused on low fields around 0.05 Tesla, but progress halted after the introduction of the 1.5 Tesla whole-body superconducting scanner in 1983. Using a permanent 0.05 Tesla magnet and deep learning for electromagnetic interference elimination, we developed a whole-body scanner that operates using a standard wall power outlet and without radiofrequency and magnetic shielding. We demonstrated its wide-ranging applicability for imaging various anatomical structures. Furthermore, we developed three-dimensional deep learning reconstruction to boost image quality by harnessing extensive high-field MRI data. These advances pave the way for affordable deep learning-powered ultra-low-field MRI scanners, addressing unmet clinical needs in diverse health care settings worldwide.