Near-infrared (NIR) diffuse correlation spectroscopy (DCS) provides a novel tool for clinical blood flow monitoring.Although DCS has the advantages of non-invasiveness, high sensitivity and large penetration depth, increasing itsacquisition speed to achieve real-time imaging is still an on-going task. In this work, we propose a multi-channel DCSsystem for dynamic topography of blood flow index in deep tissues, where a dynamic nature up to one frame per secondis implemented by combining the concurrency of FPGA-based 10 channel hardware correlators of multi-τ-design andNIR-sensitive avalanche photodiode detectors. The flow-velocity resolution, measurement fidelity and imaging depth ofthe system were evaluated by phantom experiments. In vivo experiments on human arm were then performed thataccurately imaged the shape and position of the blood vessels and demonstrated the ability of the proposed methodologyto capture blood flow changes.
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