Study on an Image Reconstruction Algorithm for 3D Cartilage OCT Images (A Preliminary Study).
- Author:
Dong Su HO
1
;
Ee Hwa KIM
;
Yong Min KIM
;
Beop Min KIM
Author Information
1. The Clinical Trial Center for Bio-Industry at Semyung University, Jecheon, Korea. dsho0307@semyung.ac.kr
- Publication Type:Original Article
- Keywords:
Optical coherence tomography;
Image segmentation;
Image reconstruction
- MeSH:
Cartilage;
Humans;
Image Processing, Computer-Assisted;
Noise;
Tomography, Optical Coherence
- From:Korean Journal of Medical Physics
2009;20(2):62-71
- CountryRepublic of Korea
- Language:English
-
Abstract:
Recently, optical coherence tomography (OCT) has demonstrated considerable promise for the noninvasive assessment of biological tissues. However, OCT images difficult to analyze due to speckle noise. In this paper, we tested various image processing techniques for speckle removal of human and rabbit cartilage OCT images. Also, we distinguished the images which get with methods of image segmentation for OCT images, and found the most suitable method for segmenting an image. And, we selected image segmentation suitable for OCT before image reconstruction. OCT was a weak point to system design and image processing. It was a limit owing to measure small a distance and depth size. So, good edge matching algorithms are important for image reconstruction. This paper presents such an algorithm, the chamfer matching algorithm. It is made of background for 3D image reconstruction. The purpose of this paper is to describe good image processing techniques for speckle removal, image segmentation, and the 3D reconstruction of cartilage OCT images.
