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Functional Lung MRI at 3.0 T using Oxygen-Enhanced MRI (OE-MRI) and Independent Component Analysis (ICA)

Needleman, Sarah; Kim, Mina; McClelland, Jamie; Tibiletti, Marta; Naish, Josephine; O'Connor, James; Parker, Geoff; (2022) Functional Lung MRI at 3.0 T using Oxygen-Enhanced MRI (OE-MRI) and Independent Component Analysis (ICA). In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting. ISMRM Green open access

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Abstract

Analysis of dynamic lung OE-MRI is challenging due to the presence of substantial artefacts and poor SNR, particularly at 3 T. We propose a cyclical oxygen delivery scheme and ICA to separate the oxygen-enhancement signal from these confounding factors at 3 T. The proposed method extracts a well-defined oxygen-enhancement signal that removes confounds due to proton density changes, blood flow and motion. We also demonstrate the ability to resolve the opposite enhancement effects of the parenchymal and vascular OE-MRI signals to provide information on pulmonary vasculature and gas distribution. The method is shown to be sensitive to smoking status.

Type: Proceedings paper
Title: Functional Lung MRI at 3.0 T using Oxygen-Enhanced MRI (OE-MRI) and Independent Component Analysis (ICA)
Event: Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting
Dates: 7 May 2022 - 12 May 2022
Open access status: An open access version is available from UCL Discovery
DOI: 10.58530/2022/0658
Publisher version: http://doi.org/10.58530/2022/0658
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.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10177730
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