Laser doppler spectrum decomposition applied in diagnostics of microcirculatory disturbances

Igor O. Kozlov; Evgeny A. Zherebtsov; Victor V. Dremin; Angelina I. Zherebtsova; Elena V. Zharkikh; Andrey V. Dunaev; Edik U. Rafailov

doi:10.1117/12.2289551

17 May 2018 Laser doppler spectrum decomposition applied in diagnostics of microcirculatory disturbances

Igor O. Kozlov, Evgeny A. Zherebtsov, Victor V. Dremin, Angelina I. Zherebtsova, Elena V. Zharkikh, Andrey V. Dunaev, Edik U. Rafailov

Author Affiliations +

Proceedings Volume 10685, Biophotonics: Photonic Solutions for Better Health Care VI; 106854O (2018) https://doi.org/10.1117/12.2289551
Event: SPIE Photonics Europe, 2018, Strasbourg, France

Abstract

Laser Doppler flowmetry (LDF) is widely used to study blood microcirculation in the skin. However, during tradition signal processing based on the integral estimations of the power spectrum of detector photocurrent, the significant part of the information about the skin blood ow is lost. In this study, we propose to analyse the distribution of the blood perfusion over the Doppler shift frequencies, which correlate with the RBC velocity. This approach provides localisation of the blood ow oscillations in different subranges of the Doppler shift. The method applied together with the wavelet analysis has been tested in healthy volunteers and patients with psoriasis on the unaffected surface of the skin. It was revealed, that the significant difference in the amplitude of myogenic oscillations is allocated in the region of the low frequency Doppler shift (1-200 Hz). This frequency region can be associated with the signal from slow components of the skin microcirculation, that can point out on a different state of the lymphatic system of the skin in psoriasis.

Citation Download Citation

Igor O. Kozlov, Evgeny A. Zherebtsov, Victor V. Dremin, Angelina I. Zherebtsova, Elena V. Zharkikh, Andrey V. Dunaev, and Edik U. Rafailov "Laser doppler spectrum decomposition applied in diagnostics of microcirculatory disturbances", Proc. SPIE 10685, Biophotonics: Photonic Solutions for Better Health Care VI, 106854O (17 May 2018); https://doi.org/10.1117/12.2289551

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