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12 July 2019 Effects of the instrument response function and the gate width in time-domain diffuse correlation spectroscopy: model and validations
Lorenzo Colombo, Marco Pagliazzi, Sanathana Konugolu Venkata Sekar, Davide Contini, Alberto Dalla Mora, Lorenzo Spinelli, Alessandro Torricelli, Turgut Durduran, Antonio Pifferi
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Neurophotonics, Vol. 6, Issue 3, 035001 (July 2019). https://doi.org/10.1117/1.NPh.6.3.035001
Abstract
Time-domain diffuse correlation spectroscopy (TD-DCS) is an emerging noninvasive optical technique with the potential to resolve blood flow (BF) and optical coefficients (reduced scattering and absorption) in depth. Here, we study the effects of finite temporal resolution and gate width in a realistic TD-DCS experiment. We provide a model for retrieving the BF from gated intensity autocorrelations based on the instrument response function, which allows for the use of broad time gates. This, in turn, enables a higher signal-to-noise ratio that is critical for in vivo applications. In numerical simulations, the use of the proposed model reduces the error in the estimated late gate BF from 34% to 3%. Simulations are also performed for a wide set of optical properties and source–detector separations. In a homogeneous phantom experiment, the discrepancy between later gates BF index and ungated BF index is reduced from 37% to 2%. This work not only provides a tool for data analysis but also physical insights, which can be useful for studying and optimizing the system performance.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Lorenzo Colombo, Marco Pagliazzi, Sanathana Konugolu Venkata Sekar, Davide Contini, Alberto Dalla Mora, Lorenzo Spinelli, Alessandro Torricelli, Turgut Durduran, and Antonio Pifferi "Effects of the instrument response function and the gate width in time-domain diffuse correlation spectroscopy: model and validations," Neurophotonics 6(3), 035001 (12 July 2019). https://doi.org/10.1117/1.NPh.6.3.035001
Received: 7 March 2019; Accepted: 18 June 2019; Published: 12 July 2019
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Cited by 13 scholarly publications.
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KEYWORDS
Photons
Sensors
Instrument modeling
Optical properties
Scattering
Picosecond phenomena
Diffusion
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