A novel 3D segmentation approach for extracting retinal layers from optical coherence tomography images

2021 ◽  
Author(s):  
Ahmed A. Sleman ◽  
Ahmed Soliman ◽  
Mohamed Elsharkawy ◽  
Guruprasad Giridharan ◽  
Mohammed Ghazal ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
3D Segmentation ◽  
Retinal Layers ◽  
Segmentation Approach

Retinal layers in prolactinoma patients: a spectral-domain optical coherence tomography study

2021 ◽  
Author(s):  
Berna Evranos Ogmen ◽  
Nagihan Ugurlu ◽  
Sevgül Faki ◽  
Sefika Burcak Polat ◽  
Reyhan Ersoy ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Spectral Domain ◽  
Optical Coherence ◽  
Retinal Layers

scholarly journals Non-destructive analysis of flake properties in automotive paints with full-field optical coherence tomography and 3D segmentation

2017 ◽  
Vol 25 (16) ◽  
pp. 18614 ◽  
Author(s):  
Jinke Zhang ◽  
Bryan M. Williams ◽  
Samuel Lawman ◽  
David Atkinson ◽  
Zijian Zhang ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
3D Segmentation ◽  
Full Field ◽  
Destructive Analysis ◽  
Non Destructive

scholarly journals Asymmetry Analysis of Macular Inner Retinal Layers for Glaucoma Diagnosis: Swept-Source Optical Coherence Tomography Study

PLoS ONE ◽  
2016 ◽  
Vol 11 (10) ◽  
pp. e0164866 ◽  
Author(s):  
Sang-Yoon Lee ◽  
Eun Kyoung Lee ◽  
Ki Ho Park ◽  
Dong Myung Kim ◽  
Jin Wook Jeoung
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Swept Source ◽  
Asymmetry Analysis ◽  
Retinal Layers ◽  
Glaucoma Diagnosis

Optical coherence tomography analysis of the inner retinal layers in children

2018 ◽  
Vol 53 (6) ◽  
pp. 614-620 ◽  
Author(s):  
Rita Gama ◽  
Joana Chambel Santos ◽  
Rute Sousa Costa ◽  
Daniela Cândido da Costa ◽  
Nuno Eirô
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Retinal Layers ◽  
Tomography Analysis

scholarly journals Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images

2020 ◽  
pp. bjophthalmol-2019-315723
Author(s):  
Tan Hung Pham ◽  
Sripad Krishna Devalla ◽  
Aloysius Ang ◽  
Zhi-Da Soh ◽  
Alexandre H Thiery ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Objective Assessment ◽  
Anterior Segment ◽  
Angle Closure Glaucoma ◽  
Training Data ◽  
Angle Closure ◽  
Optical Coherence ◽  
Segmentation Approach ◽  
Reliable Quantification ◽  
The Given

Background/AimsAccurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosis and treatment of many eye diseases, especially angle-closure glaucoma.MethodIn this study, we developed a deep convolutional neural network (DCNN) for the localisation of the scleral spur; moreover, we introduced an information-rich segmentation approach for this localisation problem. An ensemble of DCNNs for the segmentation of AS structures (iris, corneosclera shell adn anterior chamber) was developed. Based on the results of two previous processes, an algorithm to automatically quantify clinically important measurements were created. 200 images from 58 patients (100 eyes) were used for testing.ResultsWith limited training data, the DCNN was able to detect the scleral spur on unseen anterior segment optical coherence tomography (ASOCT) images as accurately as an experienced ophthalmologist on the given test dataset and simultaneously isolated the AS structures with a Dice coefficient of 95.7%. We then automatically extracted eight clinically relevant ASOCT measurements and proposed an automated quality check process that asserts the reliability of these measurements. When combined with an OCT machine capable of imaging multiple radial sections, the algorithms can provide a more complete objective assessment. The total segmentation and measurement time for a single scan is less than 2 s.ConclusionThis is an essential step towards providing a robust automated framework for reliable quantification of ASOCT scans, for applications in the diagnosis and management of angle-closure glaucoma.

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