Needleman, Sarah H;
Kim, Mina;
McClelland, Jamie R;
Tibiletti, Marta;
Short, Christopher;
Semple, Thomas;
Davies, Jane C;
(2024)
ICA-enabled oxygen-enhanced MRI (OE-MRI)
correlates with pulmonary function tests in cystic
fibrosis.
In:
Proceedings of the Annual Meeting (ISMRM & ISMRT 2024).
International Society for Magnetic Resonance in Medicine
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Abstract
MOTIVATION: There is a clinical need for non-ionising methods to assess heterogeneous lung function in cystic fibrosis (CF). Dynamic oxygenenhanced MRI (OE-MRI) can assess regional lung function, however OE-MRI analysis is impaired by confounding signals and poor SNR. GOAL(S): To evaluate the sensitivity of OE-MRI measures to the lung clearance index (LCI) in CF, with and without independent component analysis (ICA) to reduce noise. APPROACH: We used ICA to reduce noise in the OE-MRI measures. We evaluated the correlation between OE-MRI measures, LCI, and pulmonary function tests. RESULTS: OE-MRI measures demonstrated significant correlation with LCI. OE-MRI measures extracted using ICA displayed clear oxygenenhancement responses. IMPACT: Dynamic lung OE-MRI measures extracted using independent component analysis (ICA) exhibited significant correlation with lung clearance index (LCI ) in cystic fibrosis (CF) patients, suggesting a potential application of ICA-extracted OE-MRI measures to assess regional disease severity in CF.
Type: | Proceedings paper |
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Title: | ICA-enabled oxygen-enhanced MRI (OE-MRI) correlates with pulmonary function tests in cystic fibrosis |
Location: | Singapore |
Dates: | 4th-9th May 2024 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.ismrm.org/24m/ |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
Keywords: | Lung, Data Processing |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10200598 |




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