Journal of Innovative Optical Health Sciences, 2020, 13 (1): , Published Online: --
Automated segmentation of intraretinal cystoid macular edema based on Gaussian mixture model
Abstract
We introduce a method based on Gaussian mixture model (GMM) clustering and level-set to automatically detect intraretina fluid on diabetic retinopathy (DR) from spectral domain optical coherence tomography (SD-OCT) images in this paper. First, each B-scan is segmented using GMM clustering. The original clustering results are refined using location and thickness information. Then, the spatial information among every consecutive five B-scans is used to search potential fluid. Finally, the improved level-set method is used to obtain the accurate boundaries. The high sensitivity and accuracy demonstrated here show its potential for detection of fluid.
Jinghong Wu, Sijie Niu, Qiang Chen, Wen Fan, Songtao Yuan, Dengwang Li. Automated segmentation of intraretinal cystoid macular edema based on Gaussian mixture model[J]. Journal of Innovative Optical Health Sciences, 2020, 13(1): .