CilOCT: A software for semi-automatic segmentation and analysis of the ciliary muscle in OCT images

CilOCT is an open-source software for semi-automatic segmentation of the ciliary muscle (CM) within optical coherence tomography (OCT) images. 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.



  1. Sandra Wagner, Eberhart Zrenner, and Torsten Strasser. 2018. “Ciliary Muscle Thickness Profiles Derived from Optical Coherence Tomography Images.” Biomedical Optics Express 9 (10): 5100. doi:10.1364/BOE.9.005100.
  2. Sandra Wagner, Eberhart Zrenner, and Torsten Strasser. 2019. “Emmetropes and Myopes Differ Little in Their Accommodation Dynamics but Strongly in Their Ciliary Muscle Morphology.” Vision Research 163 (October). Elsevier: 42–51. doi:10.1016/j.visres.2019.08.002.
  3. Sandra Wagner, Frank Schaeffel, Eberhart Zrenner, and Torsten Straßer. 2019. “Prolonged Nearwork Affects the Ciliary Muscle Morphology.” Experimental Eye Research 186 (September): 107741. doi:10.1016/j.exer.2019.107741.
  4. Torsten Straßer, Sandra Wagner, and Eberhart Zrenner. 2020. “Review of the Application of the Open-Source Software CilOCT for Semi-Automatic Segmentation and Analysis of the Ciliary Muscle in OCT Images.” Edited by Asaf Achiron. PLOS ONE 15 (6): e0234330. doi:10.1371/journal.pone.0234330.