Toward efficient signal extraction for deep tissue blood flow using parallelized diffuse correlation spectroscopy
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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Wu, M. M., Kreiß, L., Wayne, M., Bruschini, C., Charbon, E., & Horstmeyer, R. (2025). Toward efficient signal extraction for deep tissue blood flow using parallelized diffuse correlation spectroscopy. In V. V. Tuchin, M. J. Leahy, & R. K. Wang (Editors), Dynamics and Fluctuations in Biomedical Photonics XXII. Dynamics and Fluctuations in Biomedical Photonics XXII, San Francisco, United States, January 25, 2025. https://doi.org/10.1117/12.3043566
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Duke University
Duke University
Duke University
EPFL
EPFL
Duke University
2025-03-20
Proceedings SPIE; PC13318
10
REVIEWED
EPFL
| Event name | Event acronym | Event place | Event date |
San Francisco, United States | 2025-01-25 - 2025-01-31 | ||