Journal article
Blood Flow Estimation from DCS Measurements Using A Frequency Domain Approach in Experimental Animal Models
IEEE transactions on instrumentation and measurement, v 74, pp 1-1
19 Nov 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Diffuse correlation spectroscopy (DCS) is a relatively new non-invasive methodology that provides Blood Flow (BF) related measurements from tissue in a safe, continuous, and portable way. The Blood Flow index ( BF i ) calculated through the normalized temporal intensity autocorrelation function of scattered light as measured by DCS has been proven to be proportional to the absolute blood flow. This time-domain method requires knowledge of the optical properties (absorption and scattering coefficients) of the tissue medium for reliable BF i estimation which are either assumed to be static and known apriori or require another device with the capability to continuously measure and simultaneously feed them into the BF i estimation pipeline of the DCS system. In this study, we propose a novel approach to calculate a BF-related parameter using frequency domain information obtained from the power spectral density (PSD) of DCS measurements based on its observed power-law behavior, as an alternative to the traditional time-domain methods. We aimed to systematically compare the BF i estimations obtained via the proposed frequency domain method and the traditional time-domain approach under different scenarios of animal experiments, modeling hemorrhagic shock, hypoxia, and sham control. Our results demonstrated that the BF i estimates obtained by the two methods followed the same behavior and hence the proposed frequency domain feature is a viable metric of actual BF as would be desired. Notably, the frequency domain approach not only reduced the variance in the BF i estimates but also eliminated the need for the knowledge of optical properties of the tissue as in the time-domain approach.
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Details
- Title
- Blood Flow Estimation from DCS Measurements Using A Frequency Domain Approach in Experimental Animal Models
- Creators
- Luis Miguel Gomero - Villanova UniversityMeltem Izzetoglu - Villanova UniversityMalaeb Shadi - Science and Health Systems, School of Biomedical Engineering, Drexel University, Philadelphia, PA, USAKurtulus Izzetoglu - Drexel University
- Publication Details
- IEEE transactions on instrumentation and measurement, v 74, pp 1-1
- Publisher
- IEEE; PISCATAWAY
- Number of pages
- 1
- Grant note
- W81XWH-20-1-0899 / Combat Readiness ? Medical Research Program Department of Defense or the U.S. Government The Office of the Assistant Secretary of Defense for Health Affairs
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pediatrics; School of Biomedical Engineering, Science, and Health Systems; School of Education
- Web of Science ID
- WOS:001373839300027
- Scopus ID
- 2-s2.0-85210150371
- Other Identifier
- 991021965371604721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic
- Instruments & Instrumentation