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Anterior segment optical coherence tomography (AS-OCT) image analysis methods and applications: A systematic review
Yoel F Garcia Marin1, David Alonso-Caneiro1, Stephen J Vincent1
1Queensland University of Technology (QUT), Centre for Vision and Eye Research, School of Optometry and Vision Science, Contact Lens and Visual Optics Laboratory, Queensland, Australia.
This review classifies anterior segment optical coherence tomography (AS-OCT) image analysis techniques. Deep learning methods are increasingly favored for glaucoma assessment, corneal segmentation, and biometry, though the field requires further development.
Area of Science:
- Ophthalmology
- Medical Imaging
- Computer Vision
Background:
- Anterior segment optical coherence tomography (AS-OCT) is crucial for anterior eye examination in research and clinical settings.
- Various image analysis methods have been developed to quantify AS-OCT images for diverse applications.
- This systematic review classifies and summarizes existing AS-OCT image analysis techniques.
Purpose of the Study:
- To provide an in-depth summary of image analysis techniques applied to AS-OCT images.
- To classify the identified techniques based on their applications.
- To identify trends and future research directions in AS-OCT image analysis.
Main Methods:
- A systematic literature search was conducted using Scopus and Engineering Village databases up to January 2022.
- Customized search statements, cross-referencing, and hand searches ensured comprehensive study retrieval.
- Performance metrics were extracted, analyzed, and compared where feasible.
Main Results:
- Three primary application categories were identified: glaucoma assessment, corneal segmentation, and anterior segment biometry, accounting for 66% of studies.
- Deep learning (DL) methods have become predominant since 2019, surpassing traditional programming and machine learning.
- The field of AS-OCT image analysis is less developed than that for posterior segment OCT imaging.
Conclusions:
- The review presents the current state-of-the-art in AS-OCT image analysis.
- Future research should focus on expanding DL applications and exploring under-researched clinical areas.
- Areas for expansion include surgical monitoring, contact lens applications, keratoconus, and corneal lesions.
