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- Publisher Website: 10.1038/s41467-021-27317-1
- Scopus: eid_2-s2.0-85121313216
- PMID: 34907181
- WOS: WOS:000730391400018
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Article: A low-cost and shielding-free ultra-low-field brain MRI scanner
Title | A low-cost and shielding-free ultra-low-field brain MRI scanner |
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Authors | |
Issue Date | 2021 |
Publisher | Nature 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? |
Abstract | Magnetic 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 Identifier | http://hdl.handle.net/10722/309384 |
ISSN | 2023 Impact Factor: 14.7 2023 SCImago Journal Rankings: 4.887 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liu, Y | - |
dc.contributor.author | Leong, TL | - |
dc.contributor.author | Zhao, Y | - |
dc.contributor.author | Xiao, L | - |
dc.contributor.author | Mak, HKF | - |
dc.contributor.author | Tsang, ACO | - |
dc.contributor.author | Lau, GKK | - |
dc.contributor.author | Leung, GKK | - |
dc.contributor.author | Wu, EX | - |
dc.date.accessioned | 2021-12-29T02:14:21Z | - |
dc.date.available | 2021-12-29T02:14:21Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Nature Communications, 2021, v. 12, article no. 7238 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | http://hdl.handle.net/10722/309384 | - |
dc.description.abstract | Magnetic 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.language | eng | - |
dc.publisher | Nature Research: Fully open access journals. The Journal's web site is located at http://www.nature.com/ncomms/index.html | - |
dc.relation.ispartof | Nature Communications | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | A low-cost and shielding-free ultra-low-field brain MRI scanner | - |
dc.type | Article | - |
dc.identifier.email | Leong, TL: tlleong@hku.hk | - |
dc.identifier.email | Mak, HKF: makkf@hku.hk | - |
dc.identifier.email | Tsang, ACO: acotsang@hku.hk | - |
dc.identifier.email | Lau, GKK: gkklau@hku.hk | - |
dc.identifier.email | Leung, GKK: gkkleung@hku.hk | - |
dc.identifier.email | Wu, EX: ewu1@hkucc.hku.hk | - |
dc.identifier.authority | Leong, TL=rp02483 | - |
dc.identifier.authority | Mak, HKF=rp00533 | - |
dc.identifier.authority | Tsang, ACO=rp01519 | - |
dc.identifier.authority | Lau, GKK=rp01499 | - |
dc.identifier.authority | Leung, GKK=rp00522 | - |
dc.identifier.authority | Wu, EX=rp00193 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1038/s41467-021-27317-1 | - |
dc.identifier.pmid | 34907181 | - |
dc.identifier.pmcid | PMC8671508 | - |
dc.identifier.scopus | eid_2-s2.0-85121313216 | - |
dc.identifier.hkuros | 331262 | - |
dc.identifier.volume | 12 | - |
dc.identifier.spage | article no. 7238 | - |
dc.identifier.epage | article no. 7238 | - |
dc.identifier.isi | WOS:000730391400018 | - |
dc.publisher.place | United Kingdom | - |