Image Processing Based On Optical Coherence Tomography Study

The optical coherence tomography is the new branch of science, which is based on the combination of the developments of optics, electronics and computer science. It has high resolution in both axial and transversal directions, which allows for noninvasive and harmless imaging of the micro-structures of tissue in vivo. OCT is based on the short coherence length of broadband light source, its capabilities may be extended by combining it with the optical Doppler effect and laser scanning confocal microscope. During last twenty years, thanks to the good imaging performance and many potential application, OCT is developing rapidly, and becoming the hot field of the biomedical photonics.In OCT system, the light source and optical scan vibration lens can cause noise, the imaging signal is often corrupted by noise in its collection, acquisition and transmission, which affect the observation of image. It is necessary to pre-process the noisy image, and improve the image quality. The focus of this paper is image processing. First, the development and its operation principles of OCT are described. The main elements and application technology of OCT system are then analyzed. Secondly, sources and types of noises are analyzed. The noise is classified based on its characteristics. Thirdly, a relevant processing methods based on noise characteristic is discussed. By comprehensive analysis and comparison, the effective image processing algorithm is proposed for my system. The image is processed through wiener filtering, median filtering, blind deconvolution and 2-discrete wavelet transform. Finally, the conclusion is given and some aspects that still need to be improved in the future are pointed out.