Segmentation of diabetic macular edema for retinal OCT images

Minghui Chen; Jintao He; Wenyu Jia; Xianfu Qin; Zhongping Chen

doi:10.1117/12.2500684

23 October 2018 Segmentation of diabetic macular edema for retinal OCT images

Minghui Chen, Jintao He, Wenyu Jia, Xianfu Qin, Zhongping Chen

Proceedings Volume 10820, Optics in Health Care and Biomedical Optics VIII; 108200X (2018) https://doi.org/10.1117/12.2500684
Event: SPIE/COS Photonics Asia, 2018, Beijing, China

Abstract

Optical coherence tomography (OCT) is becoming one of the most important detection modalities for fast and noninvasive assessment of ophthalmological diseases. Diabetic macular edema (DME) is one of the important reasons leads to blindness. Its pathological features are mainly manifested in the accumulation of fluid in the retina. An automated method is proposed to identify and quantify the volume of cystoid macular edema in Spectral Domain OCT (SD-OCT) images. In the first stage of preprocessing, we balance the apparent signal-to-noise of each retinal OCT image. Because the signal-to-noise of OCT images is variable from patient to patient, and balance of the signal-to-noise ensures consistent segmentation of cystoid fluid. Speckle noise is the main reason leads to quality degrading in OCT images. The denoising method should be efficient for the noise suppression, and the edge information can be preserved at the same time. Then we used the anisotropic diffusion filter to suppress shot noise. The intensity inhomogeneity in OCT images may lead to false detection in the further segmentation work. Then we used the gamma transformation to change the brightness, which eliminates the effect availably. In the second stage of segmentation, we solve the problem of segmentation effectively by the improved level set method and calculated the area of edema area, which provides quantitative analytic tools for clinical diagnosis and therapy. Finally, the proposed method was evaluated on 15 SD-OCT retinal images from DME adults. Leave-one-out evaluation resulted in a precision, sensitivity and dice similarity coefficient (DSC) of 81.12%, 86.90% and 80.05%, respectively.

Citation Download Citation

Minghui Chen, Jintao He, Wenyu Jia, Xianfu Qin, and Zhongping Chen "Segmentation of diabetic macular edema for retinal OCT images", Proc. SPIE 10820, Optics in Health Care and Biomedical Optics VIII, 108200X (23 October 2018); https://doi.org/10.1117/12.2500684

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available