Method for the tomography of high resolution optics coherence

Abstract

The invention relates to a high-resolution optical coherence tomography method, which adopts depth resolution dispersion compensation to more accurately compensate the dispersion in a compensation circuit and a sample, so as to eliminate the widening effect of the dispersion. The invention has the advantages that the dispersion compensation can be implemented without learning the materials and the structure information of the sample in advance, and the invention can not only compensate the dispersion mismatching of the two arms of an interference device, but can also compensate the internal dispersion of the sample; furthermore, the invention can adopt the corresponding dispersion coefficient to carry out the compensate against the different depth of the internal part of the sample, so as to achieve the best compensation effect and obtain optical coherence tomography images with high-resolution.

Description

technical field [0001] The present invention relates to a frequency-domain optical coherence tomography (Fourier Domain Optical Coherence Tomography, referred to as FD-OCT) technology, in particular to a high-resolution frequency-domain optical coherence tomography method. Background technique [0002] Optical coherence tomography (OCT) is based on the principle of Low Coherence Interferometry (LCI), which can perform non-invasive, real-time, in vivo imaging of tiny structures within a few millimeters of depth in scattering media such as biological tissues. Tomography, with ultra-high resolution (1 µm to 20 µm). Since Huang et al. proposed the concept of OCT in 1991 and applied it to the tomographic imaging of the human retina and coronary artery wall, OCT, with its ultra-high resolution, ultra-fast imaging speed, no radiation damage, and optical information diversity, As well as the advantages of good compatibility with existing medical instruments, it has become an optica...

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Problems solved by technology

However, the depth-resolved convolution kernel used in this method needs to be calculated according to the material and structure of the sample.

Since the materials and structures of different samples are generally unpredictable, especially the human eye and skin, each detection object has different material properties and structural characteristics, it is difficult to obtain an accurate depth-resolved convolution kernel, which limits this Practical Application of Depth-Resolved Dispersion Compensation Method

[0007] From the above analysis, it can be seen that there is no automatic, depth-resolved dispersion compensation method applied to OCT to achieve high-resolution optical coherence tomography.

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