Blood flow dynamic detection method and system based on laser speckle imaging and medium

Abstract

The invention discloses a blood flow dynamic detection method and system based on laser speckle imaging and a medium. The blood flow dynamic detection method based on laser speckle imaging comprises the following steps: irradiating a biological tissue to be detected with a light beam, and scattering to obtain a laser speckle image; selecting continuous image frames from the laser speckle image to calculate a covariance matrix; performing characteristic decomposition on the covariance matrix to obtain feature values and corresponding feature vectors; selecting the feature vectors with relatively large feature values to reconstruct static tissue information; filtering the static tissue information of the laser speckle image to extract blood information; and reducing noise interference to enhance visualization of the blood flow information. According to the method, the influence caused by static tissue scattering can be inhibited, the distinguishing capability on slow blood flow is improved, the signal-to-noise ratio of a reconstructed image is increased, the quality of the reconstructed image is greatly improved, the reconstruction speed of a blood flow image is greatly increased, and real-time detection and analysis on microcirculation blood flow are facilitated.

Description

technical field [0001] The present invention relates to the technical field of biomedical blood flow detection, in particular to a blood flow dynamic detection method, system and medium based on laser speckle imaging. Background technique [0002] Microcirculation is an important way to realize the exchange of substances, information and energy between organisms and the environment, it is the basis for the normal operation of life activities, and it can reflect the functional activities and disease mechanisms of biological tissues. Under normal circumstances, the microcirculation blood flow adapts to the metabolic level of the human body, and the physiological functions of various organs operate normally. However, when the microcirculation is dysfunctional, the nutrients and oxygen cannot meet the metabolic needs of the tissue, and the metabolic waste cannot be discharged in time, resulting in Tissue and organ failure, which in turn can lead to many diseases. It has been pr...

AI Technical Summary

Problems solved by technology

However, the traditional contrast algorithm can not take into account the spatial and temporal resolution of imaging well. In the case of a certain exposure time, the dynamic range of blood flow measurement is limited, and it is easily affected by static tissue, making it difficult to visualize slow blood flow.

Therefore, the traditional reconstruction method cannot realize the dynamic detection of blood flow, which is not conducive to the real-time detection and analysis of microcirculatory blood flow.

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