dc.contributor.author | Needleman, SH | |
dc.contributor.author | Kim, M | |
dc.contributor.author | McClelland, JR | |
dc.contributor.author | Naish, JH | |
dc.contributor.author | Tibiletti, M | |
dc.contributor.author | O'Connor, JPB | |
dc.contributor.author | Parker, GJM | |
dc.coverage.spatial | United States | |
dc.date.accessioned | 2024-02-16T09:33:18Z | |
dc.date.available | 2024-02-16T09:33:18Z | |
dc.date.issued | 2024-03-01 | |
dc.identifier.citation | Magnetic Resonance in Medicine, 2024, 91 (3), pp. 955 - 971 | en_US |
dc.identifier.issn | 0740-3194 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/6159 | |
dc.identifier.eissn | 1522-2594 | |
dc.identifier.eissn | 1522-2594 | |
dc.identifier.doi | 10.1002/mrm.29912 | |
dc.identifier.doi | 10.1002/mrm.29912 | |
dc.description.abstract | PURPOSE: Dynamic lung oxygen-enhanced MRI (OE-MRI) is challenging due to the presence of confounding signals and poor signal-to-noise ratio, particularly at 3 T. We have created a robust pipeline utilizing independent component analysis (ICA) to automatically extract the oxygen-induced signal change from confounding factors to improve the accuracy and sensitivity of lung OE-MRI. METHODS: Dynamic OE-MRI was performed on healthy participants using a dual-echo multi-slice spoiled gradient echo sequence at 3 T and cyclical gas delivery. ICA was applied to each echo within a thoracic mask. The ICA component relating to the oxygen-enhancement signal was automatically identified using correlation analysis. The oxygen-enhancement component was reconstructed, and the percentage signal enhancement (PSE) was calculated. The lung PSE of current smokers was compared with nonsmokers; scan-rescan repeatability, ICA pipeline repeatability, and reproducibility between two vendors were assessed. RESULTS: ICA successfully extracted a consistent oxygen-enhancement component for all participants. Lung tissue and oxygenated blood displayed the opposite oxygen-induced signal enhancements. A significant difference in PSE was observed between the lungs of current smokers and nonsmokers. The scan-rescan repeatability and the ICA pipeline repeatability were good. CONCLUSION: The developed pipeline demonstrated sensitivity to the signal enhancements of the lung tissue and oxygenated blood at 3 T. The difference in lung PSE between current smokers and nonsmokers indicates a likely sensitivity to lung function alterations that may be seen in mild pathology, supporting future use of our methods in patient studies. | |
dc.format | Print-Electronic | |
dc.format.extent | 955 - 971 | |
dc.language | eng | |
dc.language.iso | eng | en_US |
dc.publisher | WILEY | en_US |
dc.relation.ispartof | Magnetic Resonance in Medicine | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject | dynamic | |
dc.subject | lung function | |
dc.subject | oxygen-enhanced MRI | |
dc.subject | oxygenation | |
dc.subject | repeatability | |
dc.subject | susceptibility contrast | |
dc.subject | Humans | |
dc.subject | Oxygen | |
dc.subject | Reproducibility of Results | |
dc.subject | Lung | |
dc.subject | Magnetic Resonance Imaging | |
dc.title | Independent component analysis (ICA) applied to dynamic oxygen-enhanced MRI (OE-MRI) for robust functional lung imaging at 3 T. | en_US |
dc.type | Journal Article | |
dcterms.dateAccepted | 2023-10-13 | |
dc.date.updated | 2024-02-16T09:32:54Z | |
rioxxterms.version | VoR | en_US |
rioxxterms.versionofrecord | 10.1002/mrm.29912 | en_US |
rioxxterms.licenseref.startdate | 2024-03-01 | |
rioxxterms.type | Journal Article/Review | en_US |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/37984456 | |
pubs.issue | 3 | |
pubs.organisational-group | ICR | |
pubs.organisational-group | ICR/Primary Group | |
pubs.organisational-group | ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging | |
pubs.organisational-group | ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Quantitative Biomedical Imaging | |
pubs.publication-status | Published | |
pubs.publisher-url | http://dx.doi.org/10.1002/mrm.29912 | |
pubs.volume | 91 | |
icr.researchteam | Quant Biomed Imaging | en_US |
dc.contributor.icrauthor | O'Connor, James Patrick | |
icr.provenance | Deposited by Mr Arek Surman on 2024-02-16. Deposit type is initial. No. of files: 1. Files: Magnetic Resonance in Med - 2023 - Needleman - Independent component analysis ICA applied to dynamic oxygen‐enhanced MRI .pdf | |