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Functional Time Domain Diffuse Correlation Spectroscopy

Nisan Ozana, Niyom Lue, Marco Renna, Mitchell B. Robinson, Alyssa Martin, Alexander I. Zavriyev, Bryce Carr, Dibbyan Mazumder, Megan Blackwell, Maria Angela Franceschini, Stefan A. Carp

2022Frontiers in Neuroscience26 citationsDOIOpen Access PDF

Abstract

Time-domain diffuse correlation spectroscopy (TD-DCS) offers a novel approach to high-spatial resolution functional brain imaging based on the direct quantification of cerebral blood flow (CBF) changes in response to neural activity. However, the signal-to-noise ratio (SNR) offered by previous TD-DCS instruments remains a challenge to achieving the high temporal resolution needed to resolve perfusion changes during functional measurements. Here we present a next-generation optimized functional TD-DCS system that combines a custom 1,064 nm pulse-shaped, quasi transform-limited, amplified laser source with a high-resolution time-tagging system and superconducting nanowire single-photon detectors (SNSPDs). System characterization and optimization was conducted on homogenous and two-layer intralipid phantoms before performing functional CBF measurements in six human subjects. By acquiring CBF signals at over 5 Hz for a late gate start time of the temporal point spread function (TPSF) at 15 mm source-detector separation, we demonstrate for the first time the measurement of blood flow responses to breath-holding and functional tasks using TD-DCS.

Topics & Concepts

Temporal resolutionTime domainCerebral blood flowDiffuse optical imagingDetectorSIGNAL (programming language)Computer scienceMaterials scienceImage resolutionBiomedical engineeringBiological systemOpticsNuclear magnetic resonancePhysicsArtificial intelligenceMedicineIterative reconstructionComputer visionBiologyCardiologyProgramming languageOptical Imaging and Spectroscopy TechniquesPhotoacoustic and Ultrasonic ImagingNon-Invasive Vital Sign Monitoring
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