Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation
Joint Authors
Hajizadeh, Fedra
Rabbani, Hossein
Kazemian Jahromi, Mahdi
Jorjandi, Sahar
Mehri Dehnavi, Alireza
Peyman, Alireza
Kafieh, Raheleh
Source
International Journal of Biomedical Imaging
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Optical Coherence Tomography (OCT) is one of the most informative methodologies in ophthalmology and provides cross sectional images from anterior and posterior segments of the eye.
Corneal diseases can be diagnosed by these images and corneal thickness maps can also assist in the treatment and diagnosis.
The need for automatic segmentation of cross sectional images is inevitable since manual segmentation is time consuming and imprecise.
In this paper, segmentation methods such as Gaussian Mixture Model (GMM), Graph Cut, and Level Set are used for automatic segmentation of three clinically important corneal layer boundaries on OCT images.
Using the segmentation of the boundaries in three-dimensional corneal data, we obtained thickness maps of the layers which are created by these borders.
Mean and standard deviation of the thickness values for normal subjects in epithelial, stromal, and whole cornea are calculated in central, superior, inferior, nasal, and temporal zones (centered on the center of pupil).
To evaluate our approach, the automatic boundary results are compared with the boundaries segmented manually by two corneal specialists.
The quantitative results show that GMM method segments the desired boundaries with the best accuracy.
American Psychological Association (APA)
Rabbani, Hossein& Kafieh, Raheleh& Kazemian Jahromi, Mahdi& Jorjandi, Sahar& Mehri Dehnavi, Alireza& Hajizadeh, Fedra…[et al.]. 2016. Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation. International Journal of Biomedical Imaging،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1105407
Modern Language Association (MLA)
Rabbani, Hossein…[et al.]. Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation. International Journal of Biomedical Imaging No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1105407
American Medical Association (AMA)
Rabbani, Hossein& Kafieh, Raheleh& Kazemian Jahromi, Mahdi& Jorjandi, Sahar& Mehri Dehnavi, Alireza& Hajizadeh, Fedra…[et al.]. Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation. International Journal of Biomedical Imaging. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1105407
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1105407