Presentation
9 March 2020 Simulation of time domain diffuse correlation spectroscopy (TD-DCS) performance for measuring brain blood flow in the presence of noise with realistic sources and detectors (Conference Presentation)
Dibbyan Mazumder, Davide Tamborini, Melissa M. Wu, Maria A. Franceschini, Stefan A. Carp
Author Affiliations +
Abstract
The ability of diffuse correlation spectroscopy (DCS) to measure tissue perfusion paves the way for monitoring cerebral blood flow non-invasively. However, during measurements on human forehead, the measured blood flow index (BFi) is susceptible to contamination due to the blood flow in extracerebral tissue. Time domain DCS addresses this problem by selecting photons based on their travel time to obtain BFi at various depths. We have determined the gate start time(s) and width(s) that can lead to optimal sensitivity of BFi to brain blood flow during actual measurements on human subjects using commercially available hardware with accurate noise modelling.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dibbyan Mazumder, Davide Tamborini, Melissa M. Wu, Maria A. Franceschini, and Stefan A. Carp "Simulation of time domain diffuse correlation spectroscopy (TD-DCS) performance for measuring brain blood flow in the presence of noise with realistic sources and detectors (Conference Presentation)", Proc. SPIE 11239, Dynamics and Fluctuations in Biomedical Photonics XVII, 112390G (9 March 2020); https://doi.org/10.1117/12.2544365
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KEYWORDS
Blood circulation

Brain

Sensors

Spectroscopy

Tissue optics

Tissues

Blood

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