NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health.

Koprowski R, Wróbel Z. Image Processing in Optical Coherence Tomography: Using Matlab [Internet]. Katowice (Poland): University of Silesia; 2011.

Cover of Image Processing in Optical Coherence Tomography

Image Processing in Optical Coherence Tomography: Using Matlab [Internet].

Show details

Chapter 1INTRODUCTION

An optical tomography is a modern, non-invasive technique for a tissue section imaging, in this case of anterior and posterior eye segment, using the light scattered on individual layers of the examined tissue. The spectral tomography, as compared with the hitherto solutions (e.g. time tomography), features much higher resolution. The elimination of a moving mirror, necessary to scan deep into the object examined, allows also shortening the examination time (object scanning) approx. a hundred times. A short time of scan performance as well as its sequentiality and maintaining a constant shift allows obtaining 3D images [7]. Many instruments available now allow such imaging. Instruments, used to acquire images used in this book, have been selected from them, i.e.:

  • SOCT Copernicus HR,
  • Zeiss Cirrus HD-OCT,
  • Zeiss Stratus OCT Zeiss Visante OCT.

Overall, the algorithms presented below have been tested on a group of more than 100,000 images of patients, both healthy and with a significant degree of eye pathology.

The most interesting fragments of algorithms presented have been recorded in the Matlab environment, version 7.2.0.232 (R2006a) and Image Processing Toolbox, version 5.2 (R2006a). Individual fragments of algorithms are separated only with text, comments and after integration create a whole allowing a full image analysis. Despite that, the authors assume that the Reader is familiar with basic functions and possibilities of the Matlab software, with special emphasis on the operations carried out on matrices. If it is not the case, the authors refer Readers to familiarise themselves with Matlab basics, e.g. references [41].

In terms of the imaged object, the description of OCT images analysis and processing methods has been divided into two parts: the anterior eye segment has been presented in the first part, while the posterior eye segment has been presented in the second part of this monograph, in accordance with Fig. 1-1.

Fig. 1-1. Cross-section of the front and back of the eye with a marked characteristic of the location areas.

Fig. 1-1

Cross-section of the front and back of the eye with a marked characteristic of the location areas.

Copyright © 2011 by Robert Koprowski, Zygmunt Wróbel.

This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License

Bookshelf ID: NBK97173

Views

Recent Activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...