Zhu Qiujian, Xing Xiaoying, Zhu Manhui, Xiao Haixiang, Ma Lie, Chen Lili, Liang Juan, Yuan You, Song E
Department of Ophthalmology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Department of Ophthalmology, Lixiang Eye Hospital of Soochow University, Suzhou, China.
Transl Vis Sci Technol. 2019 Jun 28;8(3):57. doi: 10.1167/tvst.8.3.57. eCollection 2019 May.
To segment three distinct retinal capillary plexuses by using optical coherence tomography angiography (OCTA).
This prospective study included 30 eyes of 15 healthy subjects. En face OCTA images generated by the AngioPlex platform were manually segmented by the "progressive matching" method to the superficial, middle, and deep capillary plexuses (SCP, MCP, and DCP, respectively). The estimated position of each plexus relative to the reference line was calculated. Vascular density (VD) and skeleton density (SD) analyses, as well as the interclass correlation coefficient and relative standard deviation, were performed on each capillary plexus. We also measured central retinal thickness (CRT) and ganglion cell layer thickness (GCT).
Thirty eyes of 15 healthy subjects (9 females; average age of 28.33 ± 3.07 years) were included in the analysis. We defined the relative estimated positions of the outer boundary MCP to the RPEfit as MCP = 14.491 - 0.307 CRT - 1.443 GCT, while the outer boundary of DCP was 37.63 ± 7.04 μm below the IPL. The VDs of SCP, MCP, and DCP were 32.97% ± 3.90%, 45.05% ± 5.34%, and 37.34% ± 4.96%, respectively, while the SDs of SCP, MCP, and DCP were 14.45 ± 1.51 mm, 19.80 ± 1.92 mm, and 17.38 ± 1.97 mm, respectively.
With the progressive matching method, we segmented three capillary plexuses and defined the relative estimated positions of each capillary plexus to the reference line and calculated the VD and SD of three capillary plexuses in healthy subjects, providing controls for future studies.
Our study provides a visual method for OCTA image vascular segmentation and provides reference and control for future studies on retinal three capillary plexuses.
利用光学相干断层扫描血管造影（OCTA）对三个不同的视网膜毛细血管丛进行分割。
这项前瞻性研究纳入了15名健康受试者的30只眼睛。由AngioPlex平台生成的正面OCTA图像通过“渐进匹配”方法手动分割为浅表、中间和深层毛细血管丛（分别为SCP、MCP和DCP）。计算每个丛相对于参考线的估计位置。对每个毛细血管丛进行血管密度（VD）和骨架密度（SD）分析，以及组内相关系数和相对标准差分析。我们还测量了中央视网膜厚度（CRT）和神经节细胞层厚度（GCT）。
分析纳入了15名健康受试者的30只眼睛（9名女性；平均年龄28.33±3.07岁）。我们将MCP外边界相对于RPEfit的相对估计位置定义为MCP = 14.491 - 0.307 CRT - 1.443 GCT，而DCP的外边界在IPL下方37.63±7.04μm处。SCP、MCP和DCP的VD分别为32.97%±3.90%、45.05%±5.34%和37.34%±4.96%，而SCP、MCP和DCP的SD分别为14.45±1.51mm、19.80±1.92mm和17.38±1.97mm。
通过渐进匹配方法，我们分割了三个毛细血管丛，定义了每个毛细血管丛相对于参考线的相对估计位置，并计算了健康受试者三个毛细血管丛的VD和SD，为未来的研究提供了对照。
我们的研究为OCTA图像血管分割提供了一种可视化方法，并为未来关于视网膜三个毛细血管丛的研究提供了参考和对照。
