Presbyopia and myopia research show a growing interest in ciliary muscle (CM) biometry using optical coherence tomography (OCT). Until now, segmentation of the CM 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 CM 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. Additionally, it supports batch processing for the automated analysis of large numbers of images. CilOCT was successfully applied in several studies:
Straßer, T., Wagner, S., & Zrenner, E., 2020. Review of the application of the open-source software CilOCT for semi-automatic segmentation and analysis of the ciliary muscle in OCT images. PLOS ONE, 15(6), e0234330. https://doi.org/10.1371/journal.pone.0234330
Wagner, S., Zrenner, E., Strasser, T., 2018. Ciliary muscle thickness profiles derived from optical coherence tomography images. Biomed. Opt. Express 9, 5100. doi:10.1364/BOE.9.005100
Wagner, S., Schaeffel, F., Zrenner, E., Straßer, T., 2019. Prolonged nearwork affects the ciliary muscle morphology. Exp. Eye Res. 186, 107741. doi:10.1016/j.exer.2019.107741
Wagner, S., Zrenner, E., Strasser, T., 2019. Emmetropes and myopes differ little in their accommodation dynamics but strongly in their ciliary muscle morphology. Vision Res. 163, 42–51. doi:10.1016/j.visres.2019.08.002