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A 15.6 frames per second 1 megapixel Multiple 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.ORCID iD: 0000-0001-6385-6760
Linköping University, Department of Electrical Engineering, Integrated Circuits and Systems. Linköping University, Faculty of Science & Engineering.
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2017 (English)In: Journal of Biophotonics, ISSN 1864-063X, E-ISSN 1864-0648Article in journal (Refereed) Published
Abstract [en]

A multiple exposure laser speckle contrast imaging (MELSCI) setup for visualizing blood perfusion was developed using a field programmable gate array (FPGA), connected to a 1000 frames per second (fps) 1-megapixel camera sensor. Multiple exposure time images at 1, 2, 4, 8, 16, 32 and 64 milliseconds were calculated by cumulative summation of 64 consecutive snapshot images. The local contrast was calculated for all exposure times using regions of 4 × 4 pixels. Averaging of multiple contrast images from the 64-millisecond acquisition was done to improve the signal-to-noise ratio. The results show that with an effective implementation of the algorithm on an FPGA, contrast images at all exposure times can be calculated in only 28 milliseconds. The algorithm was applied to data recorded during a 5 minutes finger occlusion. Expected contrast changes were found during occlusion and the following hyperemia in the occluded finger, while unprovoked fingers showed constant contrast during the experiment. The developed setup is capable of massive data processing on an FPGA that enables processing of MELSCI data in 15.6 fps (1000/64 milliseconds). It also leads to improved frame rates, enhanced image quality and enables the calculation of improved microcirculatory perfusion estimates compared to single exposure time systems.

Place, publisher, year, edition, pages
Wiley-VCH Verlagsgesellschaft, 2017.
Keyword [en]
blood flow, blood perfusion, FPGA, LASCA, LSCI, microcirculation, multiexposure
National Category
Other Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-141201DOI: 10.1002/jbio.201700069Scopus ID: 2-s2.0-85026753968OAI: oai:DiVA.org:liu-141201DiVA: diva2:1144580
Available from: 2017-09-26 Created: 2017-09-26 Last updated: 2017-10-31Bibliographically approved

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The full text will be freely available from 2018-08-07 12:43
Available from 2018-08-07 12:43

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Hultman, MartinFredriksson, IngemarLarsson, MarcusAlvandpour, AtilaStrömberg, Tomas

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