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Article: A low-cost and shielding-free ultra-low-field brain MRI scanner

TitleA low-cost and shielding-free ultra-low-field brain MRI scanner
Authors
Issue Date2021
PublisherNature Research: Fully open access journals. The Journal's web site is located at http://www.nature.com/ncomms/index.html
Citation
Nature Communications, 2021, v. 12, article no. 7238 How to Cite?
AbstractMagnetic resonance imaging is a key diagnostic tool in modern healthcare, yet it can be cost-prohibitive given the high installation, maintenance and operation costs of the machinery. There are approximately seven scanners per million inhabitants and over 90% are concentrated in high-income countries. We describe an ultra-low-field brain MRI scanner that operates using a standard AC power outlet and is low cost to build. Using a permanent 0.055 Tesla Samarium-cobalt magnet and deep learning for cancellation of electromagnetic interference, it requires neither magnetic nor radiofrequency shielding cages. The scanner is compact, mobile, and acoustically quiet during scanning. We implement four standard clinical neuroimaging protocols (T1- and T2-weighted, fluid-attenuated inversion recovery like, and diffusion-weighted imaging) on this system, and demonstrate preliminary feasibility in diagnosing brain tumor and stroke. Such technology has the potential to meet clinical needs at point of care or in low and middle income countries.
Persistent Identifierhttp://hdl.handle.net/10722/309384
ISSN
2021 Impact Factor: 17.694
2020 SCImago Journal Rankings: 5.559
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, Y-
dc.contributor.authorLeong, TL-
dc.contributor.authorZhao, Y-
dc.contributor.authorXiao, L-
dc.contributor.authorMak, HKF-
dc.contributor.authorTsang, ACO-
dc.contributor.authorLau, GKK-
dc.contributor.authorLeung, GKK-
dc.contributor.authorWu, EX-
dc.date.accessioned2021-12-29T02:14:21Z-
dc.date.available2021-12-29T02:14:21Z-
dc.date.issued2021-
dc.identifier.citationNature Communications, 2021, v. 12, article no. 7238-
dc.identifier.issn2041-1723-
dc.identifier.urihttp://hdl.handle.net/10722/309384-
dc.description.abstractMagnetic resonance imaging is a key diagnostic tool in modern healthcare, yet it can be cost-prohibitive given the high installation, maintenance and operation costs of the machinery. There are approximately seven scanners per million inhabitants and over 90% are concentrated in high-income countries. We describe an ultra-low-field brain MRI scanner that operates using a standard AC power outlet and is low cost to build. Using a permanent 0.055 Tesla Samarium-cobalt magnet and deep learning for cancellation of electromagnetic interference, it requires neither magnetic nor radiofrequency shielding cages. The scanner is compact, mobile, and acoustically quiet during scanning. We implement four standard clinical neuroimaging protocols (T1- and T2-weighted, fluid-attenuated inversion recovery like, and diffusion-weighted imaging) on this system, and demonstrate preliminary feasibility in diagnosing brain tumor and stroke. Such technology has the potential to meet clinical needs at point of care or in low and middle income countries.-
dc.languageeng-
dc.publisherNature Research: Fully open access journals. The Journal's web site is located at http://www.nature.com/ncomms/index.html-
dc.relation.ispartofNature Communications-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleA low-cost and shielding-free ultra-low-field brain MRI scanner-
dc.typeArticle-
dc.identifier.emailLeong, TL: tlleong@hku.hk-
dc.identifier.emailMak, HKF: makkf@hku.hk-
dc.identifier.emailTsang, ACO: acotsang@hku.hk-
dc.identifier.emailLau, GKK: gkklau@hku.hk-
dc.identifier.emailLeung, GKK: gkkleung@hku.hk-
dc.identifier.emailWu, EX: ewu1@hkucc.hku.hk-
dc.identifier.authorityLeong, TL=rp02483-
dc.identifier.authorityMak, HKF=rp00533-
dc.identifier.authorityTsang, ACO=rp01519-
dc.identifier.authorityLau, GKK=rp01499-
dc.identifier.authorityLeung, GKK=rp00522-
dc.identifier.authorityWu, EX=rp00193-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1038/s41467-021-27317-1-
dc.identifier.pmid34907181-
dc.identifier.pmcidPMC8671508-
dc.identifier.scopuseid_2-s2.0-85121313216-
dc.identifier.hkuros331262-
dc.identifier.volume12-
dc.identifier.spagearticle no. 7238-
dc.identifier.epagearticle no. 7238-
dc.identifier.isiWOS:000730391400018-
dc.publisher.placeUnited Kingdom-

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