Centre for Ophthalmology, Institute for Ophthalmic Research, University of Tuebingen, Tuebingen, Germany.
Werner Reichardt Centre for Integrative Neuroscience (CIN), University of Tuebingen, Tuebingen, Germany.
PLoS One. 2020 Jun 9;15(6):e0234330. doi: 10.1371/journal.pone.0234330. eCollection 2020.
Presbyopia and myopia research shows a growing interest in ciliary muscle biometry using optical coherence tomography (OCT). Until now, segmentation of the ciliary muscle is often performed manually using either custom-developed programs or image processing software. Here we present a novel software for semi-automatic segmentation of the ciliary muscle. It provides direct import of OCT images in DICOM format, a standardized procedure for segmentation, image distortion correction, the export of anatomical ciliary muscle landmarks, like ciliary muscle apex and scleral spur, as well as a continuous thickness profile of the ciliary muscle as a novel way of analysis. All processing steps are stored as XML files, fostering documentation and reproducibility of research through the possibility of replicating the analysis. Additionally, CilOCT supports batch processing for the automated analysis of large numbers of images and the respective data export to tabulated text files based on the stored XML files. CilOCT was successfully applied in several studies and their results will be summarized in this paper.
老花眼和近视的研究表明，人们对使用光相干断层扫描（OCT）测量睫状肌生物计量学越来越感兴趣。到目前为止，睫状肌的分割通常是使用定制开发的程序或图像处理软件手动完成的。本文介绍了一种用于睫状肌半自动分割的新型软件。它提供了对 DICOM 格式 OCT 图像的直接导入、标准化的分割程序、图像失真校正、睫状肌解剖学标志（如睫状肌顶点和巩膜突）的导出，以及睫状肌连续厚度轮廓的分析。所有处理步骤都存储在 XML 文件中，通过复制分析的可能性促进了文档记录和研究的可重复性。此外，CilOCT 支持批量处理，可自动分析大量图像，并根据存储的 XML 文件将相应的数据导出到制表文本文件中。CilOCT 已成功应用于多项研究，本文将对其结果进行总结。
