Microvascular Optical Contrast Imaging and Jitter Compensation Method Based on Complex Cross-correlation

Abstract

The invention discloses a capillary optical imaging and jitter compensating method and system based on complex number mutual correlation. The method is combined with the three-dimensional spatial resolution capacity of an optical coherence tomography imaging technology and the spatial motion resolution capacity of a dynamic scattering technology, OCT imaging is carried out repeatedly on the same spatial position or the position with a focusing light spot having certain spatial correlation at a certain time interval, scattering signals of a static tissue background do not change along with time, and scattering signals of dynamic red blood cells change along with time. Accordingly, blood flow signals can be recognized from the OCT signals, and capillary optical imaging based on the blood flow motion characteristic is achieved. The capillary optical imaging and jitter compensating method is not affected by phase overall disturbance and does not need phase correction; extraction of the blood flow signals and correction of image overall offset are carried out based on a complex number mutual correlation algorithm and can be realized in parallel.

Description

technical field [0001] The present invention relates to optical coherence tomography (Optical Coherence Tomography, OCT) and microvascular optical contrast imaging technology, in particular to a method and system for microvascular optical contrast and jitter compensation based on complex cross-correlation. [0002] technical background [0003] OCT imaging technology is a new low-coherence imaging technology with clinical value. In recent years, it has been deeply studied by many domestic and foreign scientific research teams due to its advantages of non-contact, non-invasive, high sensitivity and high resolution. OCT mainly obtains the structural image of the sample by detecting the change of backscattered light intensity caused by the optical inhomogeneity of the biological sample. However, in most cases, especially in the early stage of the disease, normal biological tissue and diseased biological tissue The difference in scattering properties between the two is small and ...

AI Technical Summary

Problems solved by technology

Compared with the intensity difference, the complex difference has higher sensitivity and contrast, but at the same time, because it is extremely sensitive to the phase, it is easily affected by the overall disturbance of the phase, so an additional complex algorithm is required to compensate the phase, which greatly increases the computer. Computing workload, not conducive to real-time imaging

In addition, there is another problem in the microvascular optical contrast based on the difference: when the light propagates in the tissue, its intensity decreases exponentially with the depth, so the residual static background signal intensity in the shallow layer is equivalent to the dynamic blood flow signal intensity in the deep layer, thus As a result, the blood vessels on the final enface projection map will be covered by the static background, reducing the image contrast

At present, the most widely used method is microvascular optical contrast based on intensity cross-correlation. This method is not sensitive to phase, so it does not need to consider the problems caused by the overall disturbance of phase in actual imaging, but at the same time, it also discards the phase in OCT complex analysis data. information, the sensitivity and contrast of the final blood flow image are not very high

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