Share Email Print

Proceedings Paper

Evaluation of a high framerate multi-exposure laser speckle contrast imaging setup
Author(s): Martin Hultman; Ingemar Fredriksson; Tomas Strömberg; Marcus Larsson
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

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.

Paper Details

Date Published: 20 February 2018
PDF: 9 pages
Proc. SPIE 10505, High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management, 1050518 (20 February 2018); doi: 10.1117/12.2286248
Show Author Affiliations
Martin Hultman, Linköping Univ. (Sweden)
Ingemar Fredriksson, Linköping Univ. (Sweden)
Perimed AB (Sweden)
Tomas Strömberg, Linköping Univ. (Sweden)
Marcus Larsson, Linköping Univ. (Sweden)

Published in SPIE Proceedings Vol. 10505:
High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management
Kevin K. Tsia; Keisuke Goda, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?