糖尿病性黄斑水肿(DME)是导致成年人失明的主要原因之一，它的病理特征主要表现在视网膜内黄斑处液体的积聚。由于光学相干层析成像(OCT)具有无创性、成像安全快速等特点，在临床上被广泛用于眼科疾病的诊断。本文提出一种分割OCT图像中糖尿病性黄斑水肿的方法，首先通过对图像的预处理，排除散斑噪声和血管对最终分割结果的影响，再用改进的水平集方法有效地解决分割的问题，并计算水肿区域的面积，为后期的临床诊断治疗提供定性和定量的工具，最后将本文方法在15 个患有DME 成人的OCT 视网膜图像上进行验证。结果表明：囊状水肿分割的精确度、灵敏度和Dice 相似性系数分别为81.12%、86.90%、80.05%。

Diabetic macular edema (DME) is one of the important reasons leading to blindness. Its pathological features are mainly manifested in the accumulation of fluid in the retina. A method for segmentation of diabetic macular edema in optical coherence tomography (OCT) retinal images is proposed. Firstly, through the image preprocessing, we exclude the impact of speckle noise and blood vessels on the final segmentation results. We used the improved level set method to solve the problem of segmentation effectively and calculated the area of edema area, which provides quantitative analytic tools for clinical diagnosis and therapy. Finally, we validated the method in this study on 15 OCT retina images with DME adults. The precision, sensitivity and dice similarity coefficient (DSC) for DME segmentation are 81.12%, 86.90% and 80.05%, respectively.