Optical Coherence Tomography Image Analysis
Hossein Rabbani,
Raheleh Kafieh,
Zahra Amini,
Hossein Rabbani
Medical Image & Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, The Islamic Republic of Iran
Search for more papers by this authorRaheleh Kafieh
Medical Image & Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, The Islamic Republic of Iran
Search for more papers by this authorZahra Amini
Medical Image & Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, The Islamic Republic of Iran
Search for more papers by this authorHossein Rabbani,
Raheleh Kafieh,
Zahra Amini,
Hossein Rabbani
Medical Image & Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, The Islamic Republic of Iran
Search for more papers by this authorRaheleh Kafieh
Medical Image & Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, The Islamic Republic of Iran
Search for more papers by this authorZahra Amini
Medical Image & Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, The Islamic Republic of Iran
Search for more papers by this authorAbstract
This article presents the fundamentals of optical coherence tomography (OCT) for ophthalmologic applications along with a comparison with other eye imaging techniques. A classification of image modeling methods is provided to elaborate the possible models for representing OCT datasets. Ophthalmologic OCTs are then classified into two main subcategories, corneal and retinal images, and an overview of available preprocessing (including motion artifact correction, despeckling, and registration) and automatic segmentation of retinal OCTs is presented. The last part of the article discusses OCT classification and explores the means for automatic diagnosis of eye diseases. Herein, one section focuses on imaging biomarkers as features for categorization of ocular disease. The article concludes with an overview of current research on classification of OCT images based on ocular diseases.
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