Publication

Toward efficient signal extraction for deep tissue blood flow using parallelized diffuse correlation spectroscopy

Claudio Bruschini
2025

Abstract

Diffuse correlation spectroscopy (DCS) is an optical technique that allows for non-invasive measurements of tissue perfusion, and is often used for neuromonitoring applications. However, a major challenge of DCS is low SNR for deep tissue measurements. Recent works have demonstrated the potential for SPAD arrays to provide significant SNR increases by averaging autocorrelation signals from individual speckles. To fully exploit the potential of SPAD array signals, in this work we present alternative methods to recovering the desired blood flow signal and demonstrate their effectiveness in reducing the required sampling time or improving computation speed.

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https://infoscience.epfl.ch/entities/publication/cecbc5f4-67a8-4e2e-96af-08ffa643cd04

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Claudio Bruschini
2025

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/cecbc5f4-67a8-4e2e-96af-08ffa643cd04

About this result

Related concepts (32)

Autocorrelation

Autocorrelation, sometimes known as serial correlation in the discrete time case, is the correlation of a signal with a delayed copy of itself as a function of delay. Informally, it is the similarity between observations of a random variable as a function of the time lag between them. The analysis of autocorrelation is a mathematical tool for finding repeating patterns, such as the presence of a periodic signal obscured by noise, or identifying the missing fundamental frequency in a signal implied by its harmonic frequencies.

Signal-to-noise ratio

Signal-to-noise ratio (SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise. SNR is defined as the ratio of signal power to noise power, often expressed in decibels. A ratio higher than 1:1 (greater than 0 dB) indicates more signal than noise. SNR is an important parameter that affects the performance and quality of systems that process or transmit signals, such as communication systems, audio systems, radar systems, imaging systems, and data acquisition systems.

Spectral density

The power spectrum of a time series describes the distribution of power into frequency components composing that signal. According to Fourier analysis, any physical signal can be decomposed into a number of discrete frequencies, or a spectrum of frequencies over a continuous range. The statistical average of a certain signal or sort of signal (including noise) as analyzed in terms of its frequency content, is called its spectrum.

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Toward efficient signal extraction for deep tissue blood flow using parallelized diffuse correlation spectroscopy

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