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Evaluation of a high framerate multi-exposure laser speckle contrast imaging setup
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Perimed AB, Järfälla-Stockholm, Sweden.ORCID iD: 0000-0002-3454-6576
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6385-6760
2018 (English)In: High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management / [ed] Kevin K. Tsia, Keisuke Goda, SPIE - International Society for Optical Engineering, 2018Conference paper, Published paper (Refereed)
Abstract [en]

We present a first evaluation of a new multi-exposure laser speckle contrast imaging (MELSCI) system for assessing spatial variations in the microcirculatory perfusion. The MELSCI system is based on a 1000 frames per second 1-megapixel camera connected to a field programmable gate arrays (FPGA) capable of producing MELSCI data in realtime. The imaging system is evaluated against a single point laser Doppler flowmetry (LDF) system during occlusionrelease provocations of the arm in five subjects. Perfusion is calculated from MELSCI data using current state-of-the-art inverse models. The analysis displayed a good agreement between measured and modeled data, with an average error below 6%. This strongly indicates that the applied model is capable of accurately describing the MELSCI data and that the acquired data is of high quality. Comparing readings from the occlusion-release provocation showed that the MELSCI perfusion was significantly correlated (R=0.83) to the single point LDF perfusion, clearly outperforming perfusion estimations based on a single exposure time. We conclude that the MELSCI system provides blood flow images of enhanced quality, taking us one step closer to a system that accurately can monitor dynamic changes in skin perfusion over a large area in real-time

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2018.
Series
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, ISSN 0277-786X ; 10505
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-148844DOI: 10.1117/12.2286248ISI: 000446339000015ISBN: 978-1-5106-1496-3 (print)OAI: oai:DiVA.org:liu-148844DiVA, id: diva2:1221847
Conference
SPIE BIOS 27 January - 1 February 2018 San Francisco, California, United States
Available from: 2018-06-20 Created: 2018-06-20 Last updated: 2018-10-17

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Hultman, MartinFredriksson, IngemarStrömberg, TomasLarsson, Marcus
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