Research On Signal And Image Processing In Imaging Technology Of Spectral Optical Coherence Tomography

Spectral domain optical coherence tomography makes use of the low coherence of backscattering light and reference light from biological tissue to get the structure of the organization. It eliminates the step of depth scan and greatly improves the OCT acquisition speed and makes OCT have the ability to detect small lesions on the internal organs of human epidermal.Firstly, this article describes the theoretical basis of endoscopic SD-OCT, simply introduces the imaging mechanism of SD-OCT and experimental device used in this subject. On the premise of improving noise ratio and the image quality of the SD-OCT system signal to, we design an SD-OCT two-dimensional gray image reconstruction algorithm. In order to improve the image quality of the SD-OCT system, we design some experiments like the system calibration, average denoising and CCD linear compensation contrast experiment, which optimizes the resolution of the gray image of the epithelial tissue of fingers.Through the analysis of circuit noise, scanning noise and speckle noise of SD-OCT imaging system, we design a kind of image enhancement algorithm that is suitable for the SD-OCT imaging system with some modern image processing technology, such as the multi-scale image analysis image enhancement, image fusion and so on. Finally, we use mixed programming technology of Lab VIEW and MATLAB. Based on the improved algorithm of image and the SD-OCT imaging system of Lab VIEW interface, we finish the construction of SD-OCT imaging system work. With orange peel surface and human finger skin as a sample, we did a series of contrast experiments, verifying the effectiveness of the denoising algorithm we have created in this paper.