在单个摄像头中进行光学断层扫描,使用边缘编码深度学习全场OCT
1Institut Langevin, ESPCI Paris, PSL University, CNRS, 1 rue Jussieu, 75005 Paris, France.
Biomedical optics express
|January 15, 2024
概括
这项研究介绍了一种更快,更低成本的光学连贯断层扫描 (OCT) 方法,只使用一个图像. 这种技术显著提高了成像速度,并减少了在体内OCT应用中的工件.
科学领域:
- 生物医学光学 生物医学光学
- 医疗成像医学成像
- 深度学习应用程序
背景情况:
- 光学连贯断层扫描 (OCT) 对于体内成像至关重要,提供高分辨率,视野和工作距离.
- 传统的OCT图像重建需要多个阶段,限制成像速度并增加对运动工件的易感性.
研究的目的:
- 为了展示使用单个相机的新面部断层扫描方法.
- 为了提高成像速度和减少在OCT中的工件,用于体内应用.
- 通过使用随时可用的摄像头来实现低成本的OCT系统.
主要方法:
- 使用低连贯干扰测量将高频边缘模式编码到样品层中.
- 使用深度学习网络 (U-Net/Pix2Pix) 增强的高通波器,以实现高效的模式提取.
- 通过对人类受试者的角膜进行体内成像来验证该方法.
主要成果:
- 与传统的OCT相比,成像速度提高了10倍.
- 显著减少相位错误和与运动相关的人工物 in in vivo,OCT.
- 用消费级摄像头证明了低成本断层扫描的可行性.
结论:
- 一个单面部断层扫描方法是高质量的OCT成像足够的.
- 深度学习显著增强了边缘图案的提取,以实现快速的断层图形重建.
- 这种方法提供了一个成本效益和更快的替代 in vivo OCT,具有广泛应用的潜力.
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