Duan Lian, Yamanari Masahiro, Yasuno Yoshiaki
Computational Optics Group, Tsukuba, Ibaraki, Japan.
Opt Express. 2012 Jan 30;20(3):3353-66. doi: 10.1364/OE.20.003353.
An automated chorio-scleral interface (CSI) detection algorithm based on polarization sensitive optical coherence tomography (PS-OCT) is presented. This algorithm employs a two-step scheme based on the phase retardation variation detected by PS-OCT. In the first step, a rough CSI segmentation is implemented to distinguish the choroid and sclera by using depth-oriented second derivative of the phase retardation. Second, the CSI is further finely defined as the intersection of lines fitted to the phase retardation in the choroid and sclera. This algorithm challenges the current back-scattering intensity based CSI segmentation approaches that are not fully based on anatomical and morphological evidence, and provides a rational segmentation method for the morphological investigation of the choroid. Applications of this algorithm are demonstrated on in vivo posterior images acquired by a PS-OCT system with 1-μm probe.
提出了一种基于偏振敏感光学相干断层扫描（PS-OCT）的自动脉络膜-巩膜界面（CSI）检测算法。该算法采用基于PS-OCT检测到的相位延迟变化的两步方案。第一步，通过使用相位延迟的深度导向二阶导数来实现粗略的CSI分割，以区分脉络膜和巩膜。第二步，将CSI进一步精确地定义为拟合脉络膜和巩膜中相位延迟的线的交点。该算法挑战了当前不完全基于解剖学和形态学证据的基于背向散射强度的CSI分割方法，并为脉络膜的形态学研究提供了一种合理的分割方法。该算法的应用在由具有1μm探头的PS-OCT系统采集的体内后部图像上得到了验证。
