Time–frequency analysis of laser speckle contrast for transcranial assessment of cerebral blood flow

Abstract

Improving noninvasive approaches to monitoring blood microcirculation is an urgent topic in modern biomedical engineering. One of the actively developing methods is laser speckle contrast imaging (LSCI), which allows not only the visualization of microvessels but also the quantitative measurements of microcirculatory blood flow. This work shows the application of LSCI for mapping the cerebral vessels of a laboratory animal, and also presents the time–frequency processing of the registered signal. Thus, we expand the capabilities of the existing LSCI approach and demonstrate spatial mapping of blood flow rhythms. The proposed technology makes it possible not only to measure the relative cerebral blood flow but also to expand diagnostic capabilities for a detailed analysis of the physiological mechanisms of changes in blood flow.

Publication DOI: https://doi.org/10.1016/j.bspc.2023.104969
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences
Funding Information: The study was supported by the Russian Science Foundation, Russia under the project No. 22-75-10088 .
Additional Information: Funding Information: The study was supported by the Russian Science Foundation, Russia under the project No. 22-75-10088 . Publisher Copyright: © 2023 Elsevier Ltd
Uncontrolled Keywords: Cerebral blood flow dynamics,Laser speckle contrast imaging,Wavelet transform,Signal Processing,Biomedical Engineering,Health Informatics
Publication ISSN: 1746-8108
Last Modified: 18 Nov 2024 08:40
Date Deposited: 19 May 2023 15:51
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.sci ... 746809423004020 (Publisher URL)
PURE Output Type: Article
Published Date: 2023-04-25
Accepted Date: 2023-04-15
Authors: Golubova, Nadezhda
Potapova, Elena
Seryogina, Evgeniya
Dremin, Viktor (ORCID Profile 0000-0001-6974-3505)

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