在增强深度成像光学相干断层扫描（EDI-OCT）图像中自动测量脉络膜厚度。
Automatic measurements of choroidal thickness in EDI-OCT images.
作者信息
Tian Jing, Marziliano Pina, Baskaran Mani, Tun Tin Aung, Aung Tin
机构信息
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5360-3. doi: 10.1109/EMBC.2012.6347205.
Enhanced Depth Imaging (EDI) optical coherence tomography (OCT) provides high-definition cross-sectional images of the choroid in vivo, and hence is used in many clinical studies. However, measurement of choroidal thickness depends on the manual labeling, which is tedious and subjective of inter-observer differences. In this paper, we propose a fast and accurate algorithm that could measure the choroidal thickness automatically. The lower boundary of the choroid is detected by searching the biggest gradient value above the retinal pigment epithelium (RPE) and the upper boundary is formed by finding the shortest path of the graph formed by valley pixels using dynamic programming. The average of Dice's Coefficient on 10 EDI-OCT images is 94.3%, which shows good consistency of the algorithm with the manual labeling. The processing time for each image is about 2 seconds.
增强深度成像（EDI）光学相干断层扫描（OCT）可在体内提供脉络膜的高清横截面图像，因此被用于许多临床研究中。然而，脉络膜厚度的测量依赖于手动标注，这既繁琐又存在观察者间差异的主观性。在本文中，我们提出了一种快速且准确的算法，该算法能够自动测量脉络膜厚度。脉络膜的下边界通过搜索视网膜色素上皮（RPE）上方的最大梯度值来检测，而上边界则通过使用动态规划找到由谷底像素形成的图形的最短路径来形成。在10张EDI-OCT图像上的Dice系数平均值为94.3%，这表明该算法与手动标注具有良好的一致性。每张图像的处理时间约为2秒。
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