Blood flow imaging quantitative processing method and device combined with blood vessel morphological characteristics

Abstract

The invention discloses a blood flow imaging quantitative processing method and device combined with blood vessel morphological characteristics. The method includes: ollecting an OCT scattering signal of the scattering signal sample; constructing a three-dimensional feature space through a classifier to realize classification of dynamic blood flow signals and static background tissue signals, wherein the above step comprises the following steps: processing OCT scattered signals by adopting first-order and zero-order auto-covariance to obtain a signal-to-noise ratio reciprocal and a decorrelation coefficient to construct the feature space; dividing the feature space into a dynamic region, a structural similarity value and a static region by adopting a linear classification boundary; distinguishing dynamic and static signals in the middle area by means of a self-adaptive tubular mask; taking the dynamic signals of the dynamic area and the middle as blood flow signals, taking the rest signals as static background signals, and calculaing the structural similarity of the binary volume data to obtain an optimal value; generating a corresponding binary blood vessel network in a classified manner; and calculating blood vessel quantization parameters. According to the method and device, interference of random noise can be remarkably suppressed, the classification precision of dynamic and static signals is improved, and the continuity of a binary vascular network is improved.

Description

technical field [0001] The present invention relates generally to the field of biomedical imaging, and more particularly to blood flow angiography and morphological feature-based, OCT A blood flow imaging quantitative processing detection method of the reciprocal of the signal-to-noise ratio and decorrelation coefficient of the scattering signal in the three-dimensional feature space. Background technique [0002] Blood perfusion is an important parameter to measure physiological function and pathological state. Currently, commonly used clinical angiography techniques require intravenous injection of exogenous markers, which may cause side effects that make it unsuitable for long-term and frequent blood flow monitoring. Track detection. 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 and reliable three...

AI Technical Summary

Problems solved by technology

Although the ID-OCTA algorithm can remove most of the static areas, it removes the dynamic signals overlapping with the static signals in the ID space together, which affects the contrast of blood flow relative to background noise and the continuity of blood vessels.

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