Abstract

AbstractDiffuse correlation tomography (DCT) is an emerging tissue blood flow index (BFI) imaging technique that typically requires a large number of source‐detector pairs, resulting in high instrumentation costs. We developed a low‐cost paradigm for upgrading the DCT system with time‐sharing hardware sensors via optical switches, wherein the S‐D configuration was spatially optimized and combined with a novelty Nth‐order linear algorithm for image reconstruction. We verified this system through the phantom experiment and the lower limb skeletal muscle cuff occlusion test. The reconstructed BFI images exhibit the excellent performance of the upgraded DCT system in retrieval of the target location, outline, and anomaly contrast. For the deepest quasi‐solid anomaly, location accuracy was 90% with the αDB‐contrast of 0.75. While, for the deepest liquid tube anomaly, a good linear relationship was achieved between contrast and pump speed, with the αDB‐contrast of 3.29 at 600 mL/h. For human experiments, it was found that the BFI in the relaxed state was ten times higher than in the cuff occlusion state. This study demonstrates the feasibility of the proposed upgraded low‐cost DCT system for diagnosing various diseases associated with local perfusion abnormalities.

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