Queensland University of Technology (QUT), Centre for Vision and Eye Research, School of Optometry and Vision Science, Contact Lens and Visual Optics Laboratory, Queensland, Australia.
Queensland University of Technology (QUT), Centre for Vision and Eye Research, School of Optometry and Vision Science, Contact Lens and Visual Optics Laboratory, Queensland, Australia.
Comput Biol Med. 2022 Jul;146:105471. doi: 10.1016/j.compbiomed.2022.105471. Epub 2022 Apr 6.
Anterior segment optical coherence tomography (AS-OCT) constitutes an important imaging modality to examine the anterior eye, which is commonly used in research and clinical practice. Since its introduction, a range of image analysis methods have been developed to quantify these images using different analysis techniques for various applications. This systematic review aims to provide an in-depth summary and to classify image analysis techniques found in the literature applied to AS-OCT images.
Scopus and Engineering Village databases were searched to retrieve relevant studies up to and including January 2022. Customized search statements were used along with cross reference and hand search techniques to ensure a complete coverage. Performance metrics were extracted, analyzed, and compared (when possible).
Three main application categories were identified: glaucoma assessment, corneal segmentation, and anterior segment biometry. These three categories constitute 66% of the total studies reported in this review. Studies were also analyzed by year of publication, and since 2019 deep learning methods were favored over traditional programming or machine learning methodologies. Overall, the AS-OCT image analysis field is less developed compared to posterior segment OCT imaging.
This review presents the state of the art in the field of AS-OCT image analysis. It highlights the opportunities for future areas of research, such as the expansion of DL methods and the extension to specific clinical areas that have received limited attention including surgical monitoring, contact lenses, and specific clinical conditions such as keratoconus and corneal lesions.
眼前节光学相干断层扫描（AS-OCT）是一种重要的眼前节成像方式，广泛应用于研究和临床实践中。自引入以来，已经开发出多种图像分析方法，利用不同的分析技术对各种应用进行定量分析。本系统评价旨在深入总结并对文献中应用于 AS-OCT 图像的图像分析技术进行分类。
检索 Scopus 和 Engineering Village 数据库，检索截至 2022 年 1 月的相关研究。使用定制的搜索语句，并结合交叉引用和手工搜索技术，以确保全面覆盖。提取、分析和比较性能指标（在可能的情况下）。
确定了三个主要的应用类别：青光眼评估、角膜分割和眼前节生物测量。这三个类别构成了本综述中报告的总研究的 66%。还按发表年份对研究进行了分析，自 2019 年以来，深度学习方法比传统编程或机器学习方法更受欢迎。总体而言，与后节 OCT 成像相比，AS-OCT 图像分析领域的发展还不够成熟。
本综述介绍了 AS-OCT 图像分析领域的最新技术。它强调了未来研究领域的机会，例如扩展 DL 方法以及扩展到特定的临床领域，这些领域受到的关注有限，包括手术监测、隐形眼镜以及特定的临床情况，如圆锥角膜和角膜病变。
