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A multipixel diffuse correlation spectroscopy system based on a single photon avalanche diode array
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. (MINT)ORCID iD: 0000-0003-4910-0291
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy.
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy.
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy.
2019 (English)In: Journal of Biophotonics, ISSN 1864-063X, E-ISSN 1864-0648, Vol. 12, no 11, article id UNSP e201900091Article in journal (Refereed) Published
Abstract [en]

The autocorrelation of laser speckles from coherent near infrared light is used for noninvasive estimates of relative changes in blood perfusion in techniques such as laser Doppler flowmetry (LDF) and diffuse correlation spectroscopy (DCS). In this study, a 2D array of single photon avalanche diodes (SPADs) was used to combine the strengths of multiple detectors in LDF with high light sensitivity in DCS. The system was tested on milk phantoms with varying detector fiber diameter (200 and 600 μm), source‐detector fiber separation (4.6‐10.2 mm), fiber‐SPAD distance (2.5‐36.5 mm), contiguous measurement time per repetition for the autocorrelation (1‐33 ms) and temperature (15.6‐46.7°C). An in vivo blood occlusion test was also performed. The multipixel approach improved signal‐to‐noise ratio (SNR) and, in our setup, the use of a multimode detector fiber was beneficial for SNR. In conclusion, the multipixel system works, but improvements and further studies regarding, for example, the data acquisition and optimal settings are still 

Place, publisher, year, edition, pages
Wiley-Blackwell, 2019. Vol. 12, no 11, article id UNSP e201900091
Keywords [en]
blood flow measurements, diffuse correlation spectroscopy, laser doppler flowmetry, SPAD array
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-159528DOI: 10.1002/jbio.201900091ISI: 000478854100001OAI: oai:DiVA.org:liu-159528DiVA, id: diva2:1341835
Available from: 2019-08-12 Created: 2019-08-12 Last updated: 2020-12-09

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