Three-dimensional flow radiographic method and system based on optical coherence tomography of feature space

Abstract

The invention discloses a three-dimensional flow radiographic method and system based on optical coherence tomography of feature space. OCT (optical coherence tomography) scattering signals of a scattering signal sample in a three-dimensional space are collected through a collector; a two-dimensional feature space is constructed through a theoretically established classifier in combination with local signal-to-noise ratios of the OCT scattering signals and a decorrelation coefficient; dynamic flow signal and stationary tissue classification is achieved. The specific steps include calculating and analyzing the OCT scattering signals through first-order and zero-order auto-covariance to obtain the signal-to-noise ratios of the OCT scattering signals and two decorrelated features; constructing a signal-to-noise ratio reciprocal-decorrelation coefficient two-dimensional feature space; constructing a linear classifier of ID spaces based on the principle of multivariate time series, and removing background of the stationary surrounding tissues. The method and system herein can evidently inhibit the influence of system noise upon flow radiography, contrast of flow images is increased, vessel visibility of deep tissues is particularly increased, and accuracy of blood flow can be improved.

Description

technical field [0001] The present invention generally relates to the field of biomedical imaging, and more specifically relates to optical coherence tomography (Optical Coherence Tomography, OCT) and optical coherence tomography (OCT Angiography, OCTA) associated blood flow imaging methods and Blood flow classification method based on time series model. Background technique [0002] Blood flow is an important indicator to measure physiological function and pathological state. Currently, the commonly used angiographic technique in clinical practice requires intravenous injection of exogenous markers, and the possible side effects make it unsuitable for long-term and frequent tracking of human blood flow. Detect and the physical condition of some patients. In recent years, OCTA, an angiographic technique developed on the basis of optical coherence tomography, replaces traditional exogenous fluorescent markers with endogenous blood flow movement. The ability to perform clear...

AI Technical Summary

Problems solved by technology

However, simple intensity masks lead to high classification error rates and low motion contrast due to the complex dependencies between the decorrelation coefficient and signal intensity

[0005] Most of the existing OCTA classification methods lack strong theoretical support, and are interfered by the difference between the template parameters and the actual biological tissue, and cannot clearly distinguish the accurate classification of dynamic and static signals; or use complex estimators to modify the signal-to-noise ratio to decorrelate The influence of the calculation is complex and the background noise caused by the static area cannot be removed

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