Optical parameter and blood glucose concentration three-dimensional correlation calculation method based on OCT

Abstract

The invention relates to an optical parameter and blood glucose concentration three-dimensional correlation calculation method based on the OCT. The method includes the following steps that blood glucose concentration changes of a measured target are controlled; a plurality of blood glucose concentration values at different times and OCT three-dimensional data of the skin tissue are acquired; the OCT three-dimensional data of the skin tissue acquired at different times form OCT three-dimensional data vectors, and the blood glucose concentration values form blood glucose concentration value vectors; the OCT three-dimensional data vectors are aligned to obtain OCT three-dimensional data aligned vectors; an optical parameter three-dimensional distribution vector of the skin is calculated; according to the optical parameter three-dimensional distribution vector of the skin and the blood glucose concentration value vectors, the three-dimensional correlation between the optical parameters of the skin and the blood glucose concentration value is calculated. According to the optical parameter and blood glucose concentration three-dimensional correlation calculation method based on the OCT, the three-dimensional correlation between the optical parameters of the skin tissue and the blood glucose concentration value can be calculated and is used for guiding detecting area selecting of the OCT noninvasive blood glucose detection technology, and accuracy of an OCT noninvasive blood glucose concentration detection system is improved.

Description

technical field [0001] The invention relates to the field of blood glucose concentration measurement, in particular to an OCT-based calculation method for the three-dimensional correlation between optical parameters and blood glucose concentration. Background technique [0002] Diabetes is a frequently-occurring disease among middle-aged and elderly people. With the improvement of people's living standards, the incidence of diabetes is also increasing. The World Health Organization lists diabetes, tumors and cardiovascular and cerebrovascular diseases as three major diseases worldwide. Finding a method for detecting blood sugar concentration is of great significance for the prevention and treatment of diabetes. At present, the most widely used blood glucose concentration detection method is invasive measurement. The main method of invasive detection is to rely on electrochemical methods to detect the patient's finger blood to obtain the patient's blood glucose concentration...

AI Technical Summary

Problems solved by technology

[0009] At present, there are methods for non-invasive blood glucose concentration measurement using OCT, but in the existing OCT blood glucose concentration measurement technology, there is only a technology that uses layered collection of information for blood glucose concentration analysis

The existing technology believes that the skin has a layered structure, and its blood sugar concentration is consistent on one level. Therefore, the existing method of OCT technology to measure blood sugar concentration is to measure the skin layer by layer within a certain detection area. The optical parameters are measured, and then the optical parameters of each layer are assembled to form a curve of optical parameters changing with skin depth, and the change of blood sugar concentration can be determined through the change of this curve; that is to say, the existing technology is only in the direction of skin depth Accumulate optical parameters and detect the change of optical parameters with blood sugar, but skin tissue is not a simple layered structure, but a complex structure in three-dimensional space, so the existing non-invasive blood sugar concentration measurement method The method cannot obtain the correlation between optical parameters and blood glucose concentration in three-dimensional space

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