FOCUSING ALGORITHM IN OCT-ONLY SYSTEMS
    1.
    发明申请
    FOCUSING ALGORITHM IN OCT-ONLY SYSTEMS 有权
    仅在10个系统中聚焦算法

    公开(公告)号:US20150359425A1

    公开(公告)日:2015-12-17

    申请号:US14301626

    申请日:2014-06-11

    申请人: L&R Medical Inc.

    IPC分类号: A61B3/10 A61B3/12 G02B7/36

    摘要: In an OCT system, the autocorrelation signal depends only on the strength of the signal in the object arm scattered back from a patient's retina and is a result of different reflections from different layers of the retina interfering with each other. The strength of the autocorrelation signal depends on how well focused the system is. Normally the autocorrelation signal is treated as noise. However by removing the reference path signal, the autocorrelation signal is easily measured and analyzed. The optimal focus can the then be found by adjusting the focus value until the autocorrelation signal is maximized.

    摘要翻译: 在OCT系统中,自相关信号仅取决于从患者视网膜分散回放的物体臂中的信号的强度,并且是来自视网膜的不同层的不同反射相互干扰的结果。 自相关信号的强度取决于系统的重点。 通常将自相关信号视为噪声。 然而,通过去除参考路径信号,可以容易地测量和分析自相关信号。 然后通过调整焦点值直到自相关信号最大化才能找到最佳焦点。

    Focusing algorithm in OCT-only systems
    2.
    发明授权
    Focusing algorithm in OCT-only systems 有权
    仅在OCT系统中的聚焦算法

    公开(公告)号:US09192295B1

    公开(公告)日:2015-11-24

    申请号:US14301626

    申请日:2014-06-11

    申请人: L&R Medical Inc.

    IPC分类号: A61B3/10 G02B7/36 A61B3/12

    摘要: In an OCT system, the autocorrelation signal depends only on the strength of the signal in the object arm scattered back from a patient's retina and is a result of different reflections from different layers of the retina interfering with each other. The strength of the autocorrelation signal depends on how well focused the system is. Normally the autocorrelation signal is treated as noise. However by removing the reference path signal, the autocorrelation signal is easily measured and analyzed. The optimal focus can the then be found by adjusting the focus value until the autocorrelation signal is maximized.

    摘要翻译: 在OCT系统中,自相关信号仅取决于从患者视网膜分散回放的物体臂中的信号的强度,并且是来自视网膜的不同层的不同反射相互干扰的结果。 自相关信号的强度取决于系统的重点。 通常将自相关信号视为噪声。 然而,通过去除参考路径信号,可以容易地测量和分析自相关信号。 然后通过调整焦点值直到自相关信号最大化才能找到最佳焦点。