在光学连贯性断层扫描中使用K空间方法:对任意形状光束进行严格的数字转换,消除偏差和超重定位,超出传统相位校正程序的范围
Alexander L Matveyev1, Lev A Matveev1, Grigory V Gelikonov1
1A.V. Gaponov-Grekhov Institute of Applied Physics RAS, Nizhny Novgorod 603950, Russia.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
本研究介绍了光学连贯断层扫描 (OCT) 扫描形成的K空间描述. 它允许OCT数据的数字化转换,改善物理焦点之外的横向分辨率.
科学领域:
- 光学一致性断层扫描 (OCT)
- 在K空间分析中,
- 数字图像处理是数字图像处理.
背景情况:
- 光学连贯断层扫描 (OCT) 通常使用平面平行扫描来形成图像.
- 现有的OCT描述通常假设高斯束和对轴近似.
- 单一散射假设是当前的OCT方法论的主要局限性.
研究的目的:
- 开发适用于任意光束形状的OCT扫描形成的严格K空间描述.
- 导出用于数字化转换海外国家和地区数据的过函数.
- 展示增强的图像处理能力,包括偏差校正和超分辨率.
主要方法:
- 使用光谱表示用于轴向和侧向OCT信号结构.
- 开发一个独立于对轴近似或高斯束假设的K空间框架.
- 通过分析推导出用于数字化转换3DCT数据的过函数.
主要成果:
- 为OCT扫描形成提供了一个紧而严格的K空间描述.
- 一个新的过功能得到了推导,使得两种振幅和相位转换.
- 过功能成功地展示了数字重新聚焦,消除偏差和数字"超级重新聚焦",以提高横向分辨率.
结论:
- 拟议的K空间描述为OCT图像形成和处理提供了通用和强大的框架.
- 由此衍生出的过功能显著提高了OCT数据操纵能力.
- 数字超重定焦提供了一条在OCT成像中实现子衍射限制横向分辨率的途径.
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