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The Application of Machine Perfusion as an Enhanced ex vivo Model for Optical Imaging

Doyle, Katie; Magbagbeola, Morenike; Rai, Zainab L; Waterhouse, Dale; Lindenroth, Lukas; Dwyer, George; Gander, Amir; ... Stoyanov, Danail; + view all (2023) The Application of Machine Perfusion as an Enhanced ex vivo Model for Optical Imaging. In: Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023. (pp. pp. 1-7). Institute of Electrical and Electronics Engineers (IEEE) Green open access

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Abstract

Optical imaging techniques such as spectral imaging show promise for the assessment of tissue health during surgery; however, the validation and translation of such techniques into clinical practise is limited by the lack of representative tissue models. In this paper, we demonstrate the application of an organ perfusion machine as an ex vivo tissue model for optical imaging. Three porcine livers are perfused at stepped blood oxygen saturations. Over the duration of each perfusion, spectral data of the tissue are captured via diffuse optical spectroscopy and multispectral imaging. These data are synchronised with blood oxygen saturation measurements recorded by the perfusion machine. Shifts in the optical properties of the tissue are demonstrated over the duration of the each perfusion, as the tissue becomes reperfused and as the oxygen saturation is varied.

Type: Proceedings paper
Title: The Application of Machine Perfusion as an Enhanced ex vivo Model for Optical Imaging
Event: 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023
Location: Sydney, Australia
Dates: 24th-27th July 2023
ISBN-13: 979-8-3503-2447-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/EMBC40787.2023.10341091
Publisher version: http://dx.doi.org/10.1109/embc40787.2023.10341091
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: Swine, Animals, Perfusion, Liver, Optical Imaging
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Surgical Biotechnology
URI: https://discovery.ucl.ac.uk/id/eprint/10186616
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