Automated detection of photoreceptor disruption in mild diabetic retinopathy on volumetric optical coherence tomography

作者：Wang, Zhuo; Camino, Acner; Zhang, Miao; Wang, Jie; Hwang, Thomas S.; Wilson, David J.; Huang, David; Li, Dengwang^*; Jia, Yali

来源：Biomedical Optics Express, 2017, 8(12): 5384-5398.

DOI：10.1364/BOE.8.005384

• AMPLITUDE-DECORRELATION ANGIOGRAPHY
• ELLIPSOID ZONE
• RETINAL LAYER
• MACULAR EDEMA
• OCT
• SEGMENTATION
• TYPE-2
• INTEGRITY
• VISUALIZATION
• ASSOCIATION

Diabetic retinopathy is a pathology where microvascular circulation abnormalities ultimately result in photoreceptor disruption and, consequently, permanent loss of vision. Here, we developed a method that automatically detects photoreceptor disruption in mild diabetic retinopathy by mapping ellipsoid zone reflectance abnormalities from en face optical coherence tomography images. The algorithm uses a fuzzy c-means scheme with a redefined membership function to assign a defect severity level on each pixel and generate a probability map of defect category affiliation. A novel scheme of unsupervised clustering optimization allows accurate detection of the affected area. The achieved accuracy, sensitivity and specificity were about 90% on a population of thirteen diseased subjects. This method shows potential for accurate and fast detection of early biomarkers in diabetic retinopathy evolution.

• 出版日期2017-12-1
• 单位山东师范大学