User-guided segmentation for volumetric retinal optical coherence tomography images
User-guided segmentation for volumetric retinal optical coherence tomography images
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DOI：
10.1117/1.jbo.19.8.086020
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发表时间：
2014-08-01
影响因子：
3.5
通讯作者：
Wang, Ruikang K.
中科院分区：
文献类型：
--
作者：
Yin, Xin;Chao, Jennifer R.;Wang, Ruikang K.
尽管存在自动分割技术，但经过培训的分级者仍然依赖于手动分割来提供来自临床光学相干断层扫描（OCT）图像的视网膜层和特征以进行精确测量。为了弥补人工分割耗时的需求和当前可用的自动分割技术之间的差距，本文提出了一种用户引导的分割方法来执行OCT图像中视网膜层和特征的分割。利用该方法，通过交互式地导航三维（3-D）OCT图像，用户首先在视网膜层显得非常不规则的区域处手动地定义用户定义（或勾画）的线，对于该区域，自动分割方法通常不能提供令人满意的结果。然后，该算法的指导下，这些素描线跟踪整个3-D视网膜层和解剖特征，通过使用新的层和边缘检测器，是基于强大的似然估计。最后得到层边界和边缘边界，实现分割。在小鼠和人类的OCT图像中的视网膜层的分割证明了所提出的用户引导的分割方法的可靠性和效率。(C)作者。由SPIE在知识共享署名3.0未移植许可下发布。
Despite the existence of automatic segmentation techniques, trained graders still rely on manual segmentation to provide retinal layers and features from clinical optical coherence tomography (OCT) images for accurate measurements. To bridge the gap between this time-consuming need of manual segmentation and currently available automatic segmentation techniques, this paper proposes a user-guided segmentation method to perform the segmentation of retinal layers and features in OCT images. With this method, by interactively navigating three-dimensional (3-D) OCT images, the user first manually defines user-defined (or sketched) lines at regions where the retinal layers appear very irregular for which the automatic segmentation method often fails to provide satisfactory results. The algorithm is then guided by these sketched lines to trace the entire 3-D retinal layer and anatomical features by the use of novel layer and edge detectors that are based on robust likelihood estimation. The layer and edge boundaries are finally obtained to achieve segmentation. Segmentation of retinal layers in mouse and human OCT images demonstrates the reliability and efficiency of the proposed user-guided segmentation method. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.