[1]张笑睿,李林△.基于光学技术的角膜形态测量在圆锥角膜诊断中应用的研究进展[J].生物医学工程研究,2022,04:428-435.
ZHANG Xiaorui,LI Lin.Progress of keratoconus diagnosis from corneal morphology measurement based on optical technology[J].Journal of Biomedical Engineering Research,2022,04:428-435.
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基于光学技术的角膜形态测量在圆锥角膜诊断中应用的研究进展(PDF)
《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]
- 期数:
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2022年04期
- 页码:
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428-435
- 栏目:
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- 出版日期:
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2022-12-25
文章信息/Info
- Title:
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Progress of keratoconus diagnosis from corneal morphology measurement based on optical technology
- 文章编号:
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1672-6278 (2022)04-0428-08
- 作者:
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张笑睿1; 李林2; 3△
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(1.首都医科大学 基础医学院,北京 100069;2.首都医科大学 生物医学工程学院,北京 100069;3.首都医科大学 临床生物力学应用基础研究北京市重点实验室,北京 100069)
- Author(s):
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ZHANG Xiaorui1; LI Lin2; 3
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(1. School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China; 2. School of Biomedical Engineering, Capital Medical University, Beijing 100069; 3. Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing 100069)
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- 关键词:
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圆锥角膜; 角膜形态学参数; 角膜地形图; 角膜生物力学; Scheimpflug原理; 共聚焦显微镜技术; 人工智能技术
- Keywords:
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Keratoconus; Corneal morphological parameters; Corneal topography; Corneal biomechanics; Scheimpflug principle; Confocal microscope technology; Artificial intelligence technology
- 分类号:
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R318.06;R772.23
- DOI:
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10.19529/j.cnki.1672-6278.2022.04.13
- 文献标识码:
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A
- 摘要:
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圆锥角膜诊断是眼科和视光学科的重要研究方向。本文以光学成像技术设备为主线,总结其在圆锥角膜诊断中应用的研究进展。本文主要概述了基于光学裂隙扫描技术的Orbscan角膜地形图系统,基于Scheimpflug原理成像技术的Pentacam眼前节分析系统与Corvis生物力学测试系统及其联合应用,以及可进行角膜活体病理检查的共聚焦显微镜在圆锥角膜诊断中的应用。最后,对融合光学设备信息的AI技术在圆锥角膜诊断方面的应用进行了总结与展望。
- Abstract:
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The diagnosis of keratoconus is a popular field in medical researching. We conclude the process on corneal assessment technologies which is optic-based and applied to the diagnosis of keratoconus. Four technologies, including Slit-scanning evaluation topography, Scheimpflug imaging tomography and pathological examination are reviewed in detail with their typical equipment Orbscan II, Pentacam & Corvis and confocal microscope. The joint application of Pentacam and Corvis is particularly illuminated. In the end, we make conclusion and expectation into the application of AI on diagnosis of keratoconus.
备注/Memo
- 备注/Memo:
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(收稿日期:2022-04-14)△通信作者Email:lil@ccmu.edu.cn
更新日期/Last Update:
2023-04-28