Pixel-wise segmentation of severely pathologic retinal pigment epithelium and choroidal stroma using multi-contrast Jones matrix optical coherence tomography
Pixel-wise segmentation of severely pathologic retinal pigment epithelium and choroidal stroma using multi-contrast Jones matrix optical coherence tomography
复制标题
DOI：
10.1364/boe.9.002955
复制
发表时间：
2018-07-01
影响因子：
3.4
通讯作者：
Yasuno, Yoshiaki
中科院分区：
文献类型：
--
作者：
Azuma, Shinnosuke;Makita, Shuichi;Yasuno, Yoshiaki
视网膜光学相干断层扫描（OCT）的组织分割广泛应用于眼科诊断。然而，其在严重病理情况下的性能仍然不足。我们提出了一种逐像素分割方法，使用琼斯矩阵OCT（JM-OCT）的多对比度测量能力。该方法适用于正常和病理性视网膜色素上皮（RPE）和脉络膜基质。在该方法中，通过组合JM-OCT的多对比度图像（包括衰减系数、偏振均匀度和OCT血管造影）来合成对特定感兴趣组织敏感的“特征”。组织分割是通过简单的阈值的功能。与传统的病理黄斑分割方法相比，该方法计算量小。将该方法应用于正常和严重病理情况下的图像进行了验证。分割结果使得能够开发几种类型的正面可视化，包括黑素层厚度图、RPE高程图、脉络膜厚度图和脉络膜基质衰减系数图。这些有助于黄斑病变的密切检查。黑素层厚度图与近红外眼底自发荧光图像非常相似，因此该图可用于识别超自发荧光信号的来源。(C)根据OSA开放获取出版协议的条款，2018年美国光学学会
Tissue segmentation of retinal optical coherence tomography (OCT) is widely used in ophthalmic diagnosis. However, its performance in severe pathologic cases is still insufficient. We propose a pixel-wise segmentation method that uses the multi-contrast measurement capability of Jones matrix OCT (JM-OCT). This method is applicable to both normal and pathologic retinal pigment epithelium (RPE) and choroidal stroma. In this method, "features," which are sensitive to specific tissues of interest, are synthesized by combining the multi-contrast images of JM-OCT, including attenuation coefficient, degree-of-polarization-uniformity, and OCT angiography. The tissue segmentation is done by simple thresholding of the feature. Compared with conventional segmentation methods for pathologic maculae, the proposed method is less computationally intensive. The segmentation method was validated by applying it to images from normal and severely pathologic cases. The segmentation results enabled the development of several types of en face visualizations, including melano-layer thickness maps, RPE elevation maps, choroidal thickness maps, and choroidal stromal attenuation coefficient maps. These facilitate close examination of macular pathology. The melano-layer thickness map is very similar to a near infrared fundus autofluorescence image, so the map can be used to identify the source of a hyper-autofluorescent signal. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement