Image of OCT system denoising and 3D reconstructing method

Xue-Tao Yan; Jun Yang; Libo Yuan

doi:10.1117/12.791528

5 March 2008 Image of OCT system denoising and 3D reconstructing method

Xue-Tao Yan, Jun Yang, Libo Yuan

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 66231T (2008) https://doi.org/10.1117/12.791528
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

The article studies 3-D image of OCT reconstructing and denoising method. 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 using in vivo specimen, noise and distortion are appeared, because the speed of the system was confined, therefore image needs the method of denoising and rebuilding. This paper studies the high scattering medium, such as specimen of skin, researches the filter and rebuilding algorithm. It proposes a novel dynamic average background estimation algorithms based on time-domain estimation method; then combining with filter in frequecy-domain avoid longitudinal direction distortion and deep's amplitude distortion. By experement it compares and discusses result of above methods and shows this algorithms to improve the qualities of image. It uses gray and color index method, which is aim to increase visualization resolution, to implement pseudo-color coding in OCT ophthalmolgy image; uses iterative reconstruction to optimize algorithm, realizes OCT system data's 3-D reconstruction.

Citation Download Citation

Xue-Tao Yan, Jun Yang, and Libo Yuan "Image of OCT system denoising and 3D reconstructing method", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66231T (5 March 2008); https://doi.org/10.1117/12.791528

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KEYWORDS

Optical coherence tomography

3D image reconstruction

3D image processing

Denoising

Reconstruction algorithms

Distortion

Image filtering

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