Ms. Xue-Tao Yan Profile

Xue-Tao Yan

at Harbin Engineering Univ

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Proceedings Article | 5 March 2008 Paper

Image of OCT system denoising and 3D reconstructing method

Xue-Tao Yan, Jun Yang, Libo Yuan

Proceedings Volume 6623, 66231T (2008) https://doi.org/10.1117/12.791528

KEYWORDS: Optical coherence tomography, 3D image reconstruction, 3D image processing, Denoising, Reconstruction algorithms, Distortion, Image resolution, Image filtering, Image restoration, Skin

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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.

Proceedings Article | 8 January 2008 Paper

Image of OCT denoising and 3D reconstructing method

Xue-tao Yan, Jun Yang, Zhi-hai Liu, Li-bo Yuan

Proceedings Volume 6826, 682609 (2008) https://doi.org/10.1117/12.757373

KEYWORDS: Optical coherence tomography, Denoising, 3D image processing, Reconstruction algorithms, Skin, Image restoration, 3D image reconstruction, Distortion, Tissue optics, Image filtering

Read 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.

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