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Journal of Medical Signals and Sensors، جلد ۱۳، شماره ۲، صفحات ۹۲-۱۰۰
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عنوان انگلیسی Automatic Choroidal Segmentation in Optical Coherence Tomography Images Based on Curvelet Transform and Graph Theory
چکیده انگلیسی مقاله Background: Automatic segmentation of the choroid on optical coherence tomography (OCT) images helps ophthalmologists in diagnosing eye pathologies. Compared to manual segmentations, it is faster and is not affected by human errors. The presence of the large speckle noise in the OCT images limits the automatic segmentation and interpretation of them. To solve this problem, a new curvelet transform-based K-SVD method is proposed in this study. Furthermore, the dataset was manually segmented by a retinal ophthalmologist to draw a comparison with the proposed automatic segmentation technique. Methods: In this study, curvelet transform-based K-SVD dictionary learning and Lucy-Richardson algorithm were used to remove the speckle noise from OCT images. The Outer/Inner Choroidal Boundaries (O/ICB) were determined utilizing graph theory. The area between ICB and outer choroidal boundary was considered as the choroidal region. Results: The proposed method was evaluated on our dataset and the average dice similarity coefficient (DSC) was calculated to be 92.14% ± 3.30% between automatic and manual segmented regions. Moreover, by applying the latest presented open?source algorithm by Mazzaferri et al. on our dataset, the mean DSC was calculated to be 55.75% ± 14.54%. Conclusions: A significant similarity was observed between automatic and manual segmentations. Automatic segmentation of the choroidal layer could be also utilized in large?scale quantitative studies of the choroid.
کلیدواژه‌های انگلیسی مقاله Choroidal segmentation, curvelet transform, graph theory, image processing, optical coherence tomography
نویسندگان مقاله | Reza Alizadeh Eghtedar
Medical Bioengineering Department, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran


| Mahdad Esmaeili
1-Department of Ophthalmology, Isfahan University of Medical Sciences, Isfahan, Iran, 2- Isfahan Eye Research Center, Department of Ophthalmology, Isfahan University of Medical Sciences, Isfahan, Iran


| Alireza Peyman
1-Department of Ophthalmology, Isfahan University of Medical Sciences, Isfahan, Iran, 2- Isfahan Eye Research Center, Department of Ophthalmology, Isfahan University of Medical Sciences, Isfahan, Iran


| Mohammadreza Akhlaghi
1-Medical Bioengineering Department, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran, 2-Department of Medical Physics, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran, 3-Department of Biomedical Physics, School of Medical Sciences, University of Aberdeen, Aberdeen, UK


| Seyed Hossein Rasta


نشانی اینترنتی http://jmss.mui.ac.ir/index.php/jmss/article/view/661
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Articles
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