Rotterdam Ophthalmic Institute, Rotterdam Eye Hospital, Rotterdam, The Netherlands; Quantitative Imaging Group, Faculty of Applied Physics, Delft University of Technology, Delft,Netherlands.
Rotterdam Ophthalmic Institute, Rotterdam Eye Hospital, Rotterdam, The Netherlands.
Med Image Anal. 2015 Dec;26(1):146-58. doi: 10.1016/j.media.2015.08.008. Epub 2015 Sep 6.
Optical coherence tomography (OCT) yields high-resolution, three-dimensional images of the retina. Reliable segmentation of the retinal layers is necessary for the extraction of clinically useful information. We present a novel segmentation method that operates on attenuation coefficients and incorporates anatomical knowledge about the retina. The attenuation coefficients are derived from in-vivo human retinal OCT data and represent an optical property of the tissue. Then, the layers in the retina are simultaneously segmented via a new flexible coupling approach that exploits the predefined order of the layers. The accuracy of the method was evaluated on 20 peripapillary scans of healthy subjects. Ten of those subjects were imaged again to evaluate the reproducibility. An additional evaluation was performed to examine the robustness of the method on a variety of data: scans of glaucoma patients, macular scans and scans by a two different OCT imaging devices. A very good agreement on all data was found between the manual segmentation performed by a medical doctor and the segmentation obtained by the automatic method. The mean absolute deviation for all interfaces in all data types varied between 1.9 and 8.5 µm (0.5-2.2 pixels). The reproducibility of the automatic method was similar to the reproducibility of the manual segmentation.
光学相干断层扫描（OCT）可获得视网膜的高分辨率三维图像。可靠的视网膜层分割对于提取临床有用的信息是必要的。我们提出了一种新的分割方法，该方法基于衰减系数，并结合了关于视网膜的解剖学知识。衰减系数是从体内人视网膜 OCT 数据中得出的，代表组织的光学特性。然后，通过利用层的预定义顺序的新的灵活耦合方法同时对视网膜层进行分割。该方法的准确性在 20 个健康受试者的视盘周围扫描上进行了评估。其中 10 名受试者再次进行了成像以评估可重复性。还进行了额外的评估，以检查该方法在各种数据上的鲁棒性：青光眼患者的扫描、黄斑扫描和两种不同的 OCT 成像设备的扫描。在由医生进行的手动分割和自动方法获得的分割之间，在所有数据上都找到了非常好的一致性。在所有数据类型中，所有界面的平均绝对偏差在 1.9 和 8.5 µm（0.5-2.2 像素）之间。自动方法的可重复性与手动分割的可重复性相似。
