Non-contact imaging system and imaging method thereof

Abstract

The invention relates to the field of near-infrared light imaging and provides a non-contact imaging system and an imaging method thereof to achieve low-cost multi-channel light intensity detection. According to the non-contact imaging system and the imaging method, a sine modulation light source is adopted to achieve light intensity phase collection, long-range dependence laser with light intensity constant is adopted to achieve photon arrival time self-correlation function collection, precise reconstruction is performed on blood oxygen blood flow data, and a monte carlo method is further utilized to simulate and achieve reconstruction of precise irregular border tissues and blood oxygen blood flow parameters of different levels.

Description

technical field [0001] The invention relates to the field of near-infrared light imaging, in particular to a non-contact imaging system and an imaging method thereof. Background technique [0002] The near-infrared autocorrelation blood flow detector / imager has the unique advantage of non-destructively detecting the flow velocity of red blood cells. In the 600-1000nm band, the absorption and scattering of near-infrared light by human tissues is mainly through red blood cells. Currently, different The detection head uses near-infrared light to measure the distribution of blood oxygen and blood flow in the human body in real time, diagnoses local blood circulation problems, and detects brain functions. With the advancement of detection technology, non-contact blood oxygen blood flow measurement begins to show unique advantages, because the contact probe inevitably compresses the measured tissue and interferes with the local blood flow, thus making the measured value inaccurate...

AI Technical Summary

Problems solved by technology

[0004] However, the current non-contact blood oxygen and blood flow detection methods using traditional detectors have errors that cannot be ignored

There are mainly the following problems: 1. Traditional blood oxygen and blood flow detectors use APD, PMT, CCD, etc. as detectors, which are expensive, bulky, and poor in portability, and cannot achieve multi-channel portable design; 2. Human body and The skull has a certain curvature, which has a great impact on the results in non-contact measurement. Because the current single-channel blood oxygen and blood flow detector is expensive, and the data reconstruction collection points are scarce, the reconstruction model is different, and the measurement results have inestimable errors; 3. In order to save costs, most blood oxygen and blood flow comprehensive imagers can only use continuous light to measure light intensity changes, and cannot accurately measure blood oxygen parameters. Therefore, when calculating blood flow values, the tissue absorption rate and scattering The rate is roughly estimated based on light intensity, resulting in errors in the final blood flow reconstruction; 4. Most of the capillaries sensitive to near-infrared light are distributed in the muscle layer, while the fat layer and epidermis only contain a small number of capillaries. Due to the scarcity of measured points, the advanced blood oxygen and blood flow measuring instruments cannot accurately distinguish the layers, and can only give the average parameters of a large area, and cannot quantitatively measure the deep blood oxygen and blood flow; 5. Most of them use focusing lenses The design method cannot measure curved surfaces (the detector cannot be manually focused each time, and automatic focusing will greatly increase the cost)

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