Related Experiment Video
Updated: Jul 21, 2025

08:57
Quantification of Optic Nerve Cross Sectional Area on MRI: A Novel Protocol using Fiji Software
Published on: September 4, 2021
4.1K
Three-Dimensional Light Field Fundus Imaging: Automatic Determination of Diagnostically Relevant Optic Nerve Head
Laureen Wegert1, Stefan Schramm1, Alexander Dietzel1
1Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany.
Translational Vision Science & Technology
|July 25, 2023
Summary
Light field fundus cameras offer a new way to analyze optic nerve head (ONH) morphology for early glaucoma detection. This 3D imaging method shows promise for automated glaucoma diagnostics.
Area of Science:
- Ophthalmology
- Medical Imaging
- Glaucoma Diagnostics
Background:
- Optic nerve head (ONH) morphological changes are early indicators of glaucoma.
- Accurate 3D imaging and analysis are crucial for timely glaucoma diagnosis.
- Light field (LF) fundus cameras provide single-shot 3D optic disc topography, minimizing motion artifacts.
Purpose of the Study:
- To introduce a novel processing method for automatic determination of diagnostically relevant ONH parameters using LF imaging.
- To validate this method through a subject study comparing LF data with established imaging techniques.
Main Methods:
- Acquired 3D images of ONHs from 17 healthy subjects using both LF fundus cameras and optical coherence tomography (OCT).
- Developed and applied a novel algorithm for LF data analysis, including depth reconstruction and radial basis function modeling.
- Compared ONH parameters derived from LF imaging with OCT results to assess accuracy.
Main Results:
- Analysis of LF 3D imaging largely agreed with OCT data for ONH contours and parameters.
- Median differences in disc area, cup area, and cup depth were minimal (0.17 mm², -0.04 mm², -0.07 mm).
- Nine subjects showed prominent optic cups, demonstrating the method's ability to capture significant morphological features.
Conclusions:
- LF data holds potential for evaluating ONH morphology.
- The developed processing method enables automatic determination of key ONH geometric parameters.
- LF imaging is a promising tool for future glaucoma diagnostics.

