Copyright © 2011 by Robert Koprowski, Zygmunt Wróbel.
This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License
NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health.
Bookshelf ID: NBK97169PMID: 22675739
Image Processing in Optical Coherence Tomography
Using Matlab
Robert Koprowski and Zygmunt Wróbel.
Katowice (Poland): University of Silesia; 2011.
ISBN-13: 978-83-62462-02-5
Excerpt
The monograph comprises proposals of new and also of known algorithms, modified by authors, for image analysis and processing, presented on the basis of example of Matlab environment with Image Processing tools. The results are not only obtained fully automatically, but also repeatable, providing doctors with quantitative information on the degree of pathology occurring in the patient. In this case the anterior and posterior eye segment is analysed, e.g. the measurement of the filtration angle or individual layers thickness.
Contents
- PREFACE
- 1. INTRODUCTION
- 2. ACQUISITION OF IMAGE DATA
- Part I
- 3. ANALYSIS OF ANTERIOR EYE SEGMENT
- 3.1 Introduction to Anterior Eye Segment Analysis
- 3.2 Review of Hitherto Filtration Angle Analysis Methods
- 3.3 Verification of the Sensitivity of the Proposed Methods
- 3.4 The Results of Automatic Analysis Chamber Angle Obtained Using Well-Known Algorithms
- 3.5 Proposed Modifications to the Well-Known Method of Measuring
- 3.6 Algorithm for Automated Analysis of the Filtration Angle
- 3.7 Determination of Anterior Chamber Volume Based on a Series of Images
- 3. ANALYSIS OF ANTERIOR EYE SEGMENT
- Part II
- 4. ANALYSIS OF POSTERIOR EYE SEGMENT
- 4.1 Introduction to the fundus of the eye analysis
- 4.2 Algorithm for Automated Analysis of Eye Layers in the Classical Method
- 4.3 Detection of IS, ONL Boundaries
- 4.4 Detection of NFL Boundary
- 4.5 Correction of Layers Range
- 4.6 Final Form of Algorithm
- 4.7 Determination of ‘Holes’ on the Image
- 4.8 Assessment of Results Obtained Using the Algorithm Proposed
- 4.9 Layers Recognition on a Tomographic Eye Image Based on Random Contour Analysis
- 4.10 Layers Recognition on Tomographic Eye Image Based on Canny Edge Detection
- 4.11 Hierarchical Approach in the Analysis of Tomographic Eye Image
- 4.12 Evaluation and Comparison of Suggested Approaches Results
- 4. ANALYSIS OF POSTERIOR EYE SEGMENT
- 5. SUMMARY
- 6. SUPPLEMENT
- BIBLIOGRAPHY
Series editor: Informatics and Biomedical Engineering Dr hab. prof. UŚ Piotr Porwik
Reviewer: Prof. dr hab. inż. Andrzej Dziech
Author website: http://robert
Work funded by the Ministry of Science and Higher Education in 2009-2011 – work number N518 427036
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- Image Processing in Optical Coherence TomographyImage Processing in Optical Coherence TomographyBookself
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