Abstract
Optical coherence tomography (OCT), which is a novel tomography method, is non-contact, noninvasive image of the
vivo tomograms, and have characteristic of high resolution and high speed; therefore it becomes an important direction
of biomedicine imaging. However, when the OCT system used in specimen, noise and distortion will appear, because the
speed of the system is confined, therefore image needs the reconstruction. The article studies OCT 3-D reconstruction
method. It cotains denoising, recovering and segmenting, these image preprocessing technology are necessary. This
paper studies the high scattering medium, such as specimen of skin, using photons transmiting properties, researches the
denoising and recovering algorithm with optical photons model of propagation in biological tissu to remove the speckle
of skin image and 3-D reconstrut. It proposes a dynamic average background estimation algorithm based on time-domain
estimation method. This method combines the estimation in time-domain with the filter in frequency-domain to remove
the noises of image effectively. In addition, it constructs a noise-model for recovering image to avoid longitudinal
direction distortion and deep's amplitude distortion and image blurring. By compareing and discussing, this method
improves and optimizes algorithms to improve the quality of image. The article optimizes iterative reconstruction
algorithm by improving convergent speed, and realizes OCT specimen data's 3-D reconstruction. It opened the door for
further analysis and diagnosis of diseases.
