Related Experiment Video
Updated: Jun 5, 2026
08:00
Observation of the Ciliary Movement of Choroid Plexus Epithelial Cells Ex Vivo
Published on: July 13, 2015
Semiautomatic extraction algorithm for images of the ciliary muscle
Chiu-Yen Kao1, Kathryn Richdale, Loraine T Sinnott
1Department of Mathematics and Mathematical Biosciences Institute, College of Mathematics and Physical Sciences, The Ohio State University, Columbus, Ohio 43210, USA.
Summary
A new semiautomatic algorithm accurately measures ciliary muscle dimensions from Visante Anterior Segment Optical Coherence Tomography images, improving upon manual caliper methods for repeatable assessments.
Area of Science:
- Ophthalmology
- Biomedical Imaging
- Anatomy
Background:
- Accurate measurement of ciliary muscle dimensions is crucial for understanding ocular biomechanics.
- Manual segmentation of ciliary muscle in anterior segment optical coherence tomography (AS-OCT) images can be time-consuming and prone to variability.
Purpose of the Study:
- To develop and evaluate a semiautomatic algorithm for segmenting and assessing ciliary muscle dimensions using Visante AS-OCT images.
- To compare the accuracy and reliability of the semiautomatic algorithm with manual measurements.
Main Methods:
- Developed a semiautomatic algorithm for ciliary muscle segmentation from Visante AS-OCT images.
- Assessed geometric distortions and estimated pixel/mm conversion factors.
- Compared algorithm measurements with manual caliper measurements using Bland-Altman analyses and interclass correlation coefficients.
- Utilized a multilevel model to differentiate examiner variability from biological variability.
Main Results:
- The developed algorithm successfully segmented the ciliary muscle.
- Manual caliper measurements underestimated ciliary muscle thickness in certain cases.
- Examiner variability accounted for only 6% of measurement variance, while biological variability accounted for 80%.
- An interclass correlation coefficient of 0.85 was achieved using the mean of three measurements.
Conclusions:
- The semiautomatic algorithm provides repeatable, efficient, and masked ciliary muscle measurements.
- Following scleral curvature with the algorithm is essential to avoid underestimating thickness.
- This tool is valuable for large-scale studies involving ciliary muscle morphology.
Related Concept Videos
01:20Muscles of the Eye
The muscles of the eye are sophisticated structures that control eye movement and focus, allowing for the precise and rapid adjustments necessary for vision. The human eye is controlled by ten muscles — six extraocular muscles, three intraocular muscles, and one primary eyelid retractor muscle.
Extraocular Muscles
The six extraocular muscles surround the eyeball and control its movements. They are responsible for a wide range of eye motions, including looking up, down, left, right, and rotating...
Extraocular Muscles
The six extraocular muscles surround the eyeball and control its movements. They are responsible for a wide range of eye motions, including looking up, down, left, right, and rotating...
01:17Accessory Structures of the Eye
Optical perception, or vision, is an extraordinary sense dependent on converting light signals received via the ocular organs. These organs, known as eyes, are securely positioned within the bony cavities of the skull, called orbits. The orbits serve a dual purpose: a protective shield for the ocular globes and a stable attachment point for the soft ocular tissues. The eye's external protective mechanisms include the eyelids, which are edged with lashes that act as a barrier against foreign...