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Recovery of the diffuse correlation spectroscopy data-type from speckle contrast measurements: Towards low-cost, deep-tissue blood flow measurements

Murali, K and Nandakumaran, AK and Durduran, T and Varma, HM (2019) Recovery of the diffuse correlation spectroscopy data-type from speckle contrast measurements: Towards low-cost, deep-tissue blood flow measurements. In: Biomedical Optics Express, 10 (10). pp. 5395-5413.

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Official URL: https://doi.org/10.1364/BOE.10.005395

Abstract

A multi-step Volterra integral equation-based algorithm was developed to measure the electric field auto-correlation function from multi-exposure speckle contrast data. This enabled us to derive an estimate of the full diffuse correlation spectroscopy data-type from a low-cost, camera-based system. This method is equally applicable for both single and multiple scattering field auto-correlation models. The feasibility of the system and method was verified using simulation studies, tissue mimicking phantoms and subsequently in in vivo experiments.

Item Type: Journal Article
Publication: Biomedical Optics Express
Publisher: OSA - The Optical Society
Additional Information: The copyright for this article belongs to the Authors.
Keywords: Costs; Electric field measurement; Electric fields; Integral equations; Speckle; Tissue, Autocorrelation functions; Diffuse correlation spectroscopy; In-vivo experiments; Simulation studies; Speckle contrasts; Tissue blood flow; Tissue mimicking phantom; Volterra integral equations, Cost benefit analysis, Article; autocorrelation; blood flowmetry; contrast sensitivity; controlled study; diffuse correlation spectroscopy; diffusing wave spectroscopy; electric field; finite element analysis; forearm; human; optical tomography; photon correlation spectroscopy; signal noise ratio; speckle contrast optical tomography; spectroscopy; tissue blood flow
Department/Centre: Division of Physical & Mathematical Sciences > Mathematics
Date Deposited: 13 Oct 2022 08:28
Last Modified: 13 Oct 2022 08:28
URI: https://eprints.iisc.ac.in/id/eprint/77345

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