Optical coherence tomography system for burnt skin

Abstract

The invention discloses an optical coherence tomography system for burnt skin. The optical coherence tomography system comprises an optical coherence tomography instrument and a computer control system, wherein the optical coherence tomography instrument acquires an interference signal of necrotic tissue of burnt skin in a target area, and the computer control system analyzes and processes the interference signal, and burn depth and the burn area of the target area are obtained, the three-dimensional image of the target area is synthesized and displayed, spectral interpolation or calibration is not needed in data processing, and the method is simpler and more efficient; at a sample arm, flexible optical focusing is achieved through a zoom lens; and a dispersion compensation lens is added to a reference arm to compensate optical path dispersion and improve axial resolution, so that dispersion compensation is not needed in data processing, and the method is simpler and more efficient, and interference signals of a wave number space can be acquired in a high-fidelity mode in signal acquisition.

Description

technical field [0001] The invention relates to the field of optical coherence tomography, in particular to an optical coherence tomography system for burned skin. Background technique [0002] Optical coherence tomography (OCT) is an emerging non-invasive optical detection technology that can provide high-resolution three-dimensional images of skin tissue in the field of burn skin diagnosis. The basic structure of OCT is a low-coherence interferometer, that is, the broadband light source is divided into two parts: reference light and sample light. When the coherence length of the light source is changed, optical interference occurs, thereby obtaining an optical interference image. The coherence length of the light source used in the OCT system is usually very small, about 10 μm, so it can provide high-resolution biological tissue information. OCT imaging techniques can be broadly classified into two types: time domain OCT (TDOCT) and Fourier domain OCT (FDOCT). Time-doma...

AI Technical Summary

Problems solved by technology

[0018] At present, the "gold standard" of burn diagnosis is still histopathological biopsy, but it cannot be practically applied in clinical practice for the following reasons: 1. Biopsy is invasive to the body , the patient may not be able to accept it; 2. Histopathological changes in burns are dynamic and continuous within a certain period of time, and it may not be possible to accurately predict the result for a single biopsy in the early stage to assess the degree of injury; 3. An experienced doctor is required. However, if relying on limited experience medical staff for initial visual diagnosis, the accuracy of judging the burn area and burn degree is only 60% and 51% respectively. A very subjective, low-accuracy skin diagnosis system with huge learning costs and huge risks for doctors and patients

Fluorescence detection technology requires intravenous injection of fluorescent substances; infrared imaging technology requires constant ambient temperature and strict detection conditions to ensure the objectivity of measurement; B-ultrasound scanning has low resolution and needs to contact the wound; laser Doppler technology and spectroscopy Imaging technology can only obtain relatively rough two-dimensional image information, which makes it difficult for the above-mentioned similar technologies to evaluate the condition of burned skin objectively and comprehensively.

At this stage, optical coherence tomography technology has also begun to be used for skin imaging, and the optical coherence tomography system based on traditional spectrum technology has poor spectral linearity and resolution, and the resolution and signal-to-noise ratio in the axial direction are attenuated. The frequency-swept optical coherence tomography system requires expensive light sources and photoelectric detection devices, and its cost and technical difficulty are relatively large

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