Abstract

The existing statistical analysis-based laser speckle contrast imaging (LSCI) methods have disadvantages in contrast, signal-to-noise ratio (SNR), and sensitive identification of small blood vessel signals. To address these limitations, we introduce a measure, the bias factor, constructed as the ratio of the true value to the baseline value to characterize the blood flow. Then, we perform a subtraction operation between adjacent frames to obtain the bias factor differences and correct the bias. Finally, the standard deviation of the bias factor differences between adjacent frames is used to quantize the blood flow changes and reconstruct the blood flow image. Experimental results demonstrated that the proposed method could address the above limitations, showing more potential in microvascular blood flow imaging.

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