带有光学偏差的光学连贯性断层扫描的图像形成理论及其应用于计算偏差校正的应用
Shuichi Makita1, Naoki Fukutake1,2, Lida Zhu1
1Computational Optics Group, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan.
Biomedical optics express
|November 26, 2025
概括
在光学连贯断层扫描 (OCT) 中的计算偏差校正 (CAC) 提高了成像深度和分辨率. 一个新的理论模型和模拟方法改善了偏差校正,提高了视网膜成像中的图像质量和细节.
科学领域:
- 生物医学光学 生物医学光学
- 光学连贯性断层扫描技术
- 计算成像技术的成像
背景情况:
- 光学连贯断层扫描 (OCT) 可以实现高分辨率,深度成像,但受到光学偏差的限制.
- 现有的计算校正方法缺乏强大的理论基础和调查工具.
- 了解具有偏差的OCT图像形成对于开发先进的处理技术至关重要.
研究的目的:
- 为具有光学偏差的OCT制定一个全面的图像形成理论.
- 根据这一理论,开发一个数值模拟方法和计算偏差校正 (CAC) 技术.
- 为了验证拟议的CAC方法在OCT同时进行多深度偏差校正的有效性.
主要方法:
- 考虑光学偏差的OCT图像形成理论的制定.
- 开发一个OCT信号和图像的数值模拟工具.
- 基于衍生理论的新型计算偏差校正 (CAC) 方法的设计和应用.
- 在模拟数据,微粒子幻影和体内人类视网膜OCT图像上进行测试.
主要成果:
- 拟议的CAC方法在模拟中实现了Strehl比率>0.8在±100μm的失焦范围,优于传统方法.
- 通过纠正OCT图像中的光学偏差,CAC显著提高了图像质量.
- 与视网膜图像中的形光受体密度相关的频率组件增强了1.2至1.4倍.
结论:
- 基于理论模型的方法为了解和改进OCT成像提供了一个强大的框架.
- 开发的CAC方法提供了有效的同时多深度偏差校正,提高了OCT图像质量.
- 这项工作有助于设计先进的OCT处理方法,并有助于理解成像特性.
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