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A 15.6 frames per second 1 megapixel Multiple Exposure Laser Speckle Contrast Imaging setup
Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten. Perimed AB, Järfälla-Stockholm, Sweden.ORCID-id: 0000-0002-3454-6576
Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0001-6385-6760
Linköpings universitet, Institutionen för systemteknik, Elektroniska Kretsar och System. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0001-8922-2360
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2018 (engelsk)Inngår i: Journal of Biophotonics, ISSN 1864-063X, E-ISSN 1864-0648, Vol. 11, nr 2, artikkel-id e201700069Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Wiley-VCH Verlagsgesellschaft, 2018. Vol. 11, nr 2, artikkel-id e201700069
Emneord [en]
blood flow, blood perfusion, FPGA, LASCA, LSCI, microcirculation, multiexposure
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-141201DOI: 10.1002/jbio.201700069ISI: 000424643600014Scopus ID: 2-s2.0-85026753968OAI: oai:DiVA.org:liu-141201DiVA, id: diva2:1144580
Forskningsfinansiär
Swedish Research Council, 2014-6141Tilgjengelig fra: 2017-09-26 Laget: 2017-09-26 Sist oppdatert: 2019-09-05bibliografisk kontrollert

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