视网膜OCT B-scan图像分割算法综述

A Review of Retina OCT B-scan Image Segmentation Methods

摘要:

依靠光学相干层析(OCT)技术能够获得清晰的视网膜结构图,对于视网膜病变的诊断具有重要的意义。文章回顾了既往研究中典型的视网膜OCT B-scan图像分割算法,根据算法的输出特征,将其分为视网膜边界提取法和视网膜层提取法两类,旨在明确不同的方法获取信息的差异性,为视网膜病变诊断提供参考。

Abstract:

As an imaging technique, optical coherence tomography (OCT) is widely adopted in the field of biomedicine. The clear structure of retina can be obtained by OCT, which is important for the diagnosis of retinopathy. In this paper, reviewed are some excellent methods to retina OCT B-scan image segmentation. The OCT segmentation approaches are classified into two distinct groups according to the output-style of segmentation algorithm, which are layer-edge method and layer-self method. The differences among methods are analyzed to provide references to retinal diagnosis and algorithm researches.