scholarly journals Detection of Choroidal Neovascularization by Optical Coherence Tomography Angiography with Assistance from Use of the Image Segmentation Method

2019 ◽  
Vol 10 (1) ◽  
pp. 137
Author(s):  
Yuan-Shao Cheng ◽  
Shih-Huan Lin ◽  
Chih-Yu Hsiao ◽  
Chia-Jen Chang

Optical coherence tomography angiography (OCTA) is a popular medical imaging technology that can quickly establish a three-dimensional model of the fundus without dye injection. However the number of images in a model is quite large, so finding the lesions through image processing technology can greatly reduce the time required for the judgment of the condition. This paper proposes a method for finding choroidal neovascularization (CNV) in OCTA images. Among the several characteristics of CNV, the larger turning angle of blood vessels is a relatively clear feature, so we will use this property to find out whether there is CNV in an OCTA image. We will transform the color space to CIELAB space, and extract the L-channel prior to preceding to the next step. We will then use some image segmentation methods to find the clearer vessel region. Finally, we will detect the CNV through certain morphology methods. The experimental result shows that our proposed method can effectively find the CNV in the OCTA image, meaning that we can make automated judgments through this method in the future and reduce the time necessary for human judgment.

2020 ◽  
Author(s):  
Chang-Xi Chen ◽  
Mei-Ling Liu ◽  
Kai Cao ◽  
Mayinuer Yusufu ◽  
Jin-Da Wang

Objective: To evaluate the diagnostic value of optical coherence tomography angiography (OCTA) in detecting the choroidal neovascularization (CNV) in agerelated macular degeneration (AMD). Methods: A systematic review and meta-analysis was performed by searching Pubmed, Science Direct, Embase and Web of Science. The pooled sensitivity and specificity with 95% confidence intervals (CIs), area under the summary receiver operator characteristic curve (sROC), and the total accurate classification rate were used to evaluate OCTA’ diagnostic value of CNV in AMD patients. Results: Seven studies involving 517 eyes were included in the analysis. The mean age of subjects in each study ranged from 58.5 years to 81.7 years. Fluorescein angiography was applied as the gold standard in five studies. There were 350 eyes diagnosed with CNV, OCTA detected 301 eyes correctly, while among the 167 eyes without CNV, OCTA identified 150 correctly. The total accurate classification rate was 87.23%. The Spearman's rank correlation coefficient was 0.5, indicating that there was no significant threshold effect in the current study (S=8, p=0.103). The pooled sensitivity and pooled specificity were 0.89 (95%CI: 0.82,0.94) and 0.96 (95%CI: 0.85,1.00) respectively. The area under sROC was up to 0.911. Conclusion: The specificity of OCTA for the detection of CNV in AMD patients is extremely high, however, the sensitivity still needs to be improved. In general, the metaanalysis revealed that OCTA had a high diagnostic value for the detection of CNV in AMD patients.


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