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Towards automatic calibration of Fourier-Domain OCT for robot-assisted vitreoretinal surgery

机译:机器人辅助玻璃体视网膜手术的Fourier-Domain OCT自动校准

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摘要

We present a new real-time automatic spectral calibration (ASC) method for Fourier domain optical coherence tomography (FD OCT) that can be automatically performed by the system. The ASC method proposed can be performed during OCT scanning operation and does not require an external calibrating light source or a commercial optical spectrum analyzer. Spectral data used for calibration can be interferograms obtained from an arbitrary sample which may have complicated internal structures, such as ones found in biological tissue. Moreover, our ASC method incorporates known robot motion to calibrate physical pixel spacing of the A-scan in static or dynamic environments. Experimental results show that our ASC method can provide high-performance calibration for FD OCT in terms of axial resolution and ranging accuracy without increasing hardware complexity.
机译:我们提出了一种新的实时傅立叶域光学相干层析成像(FD OCT)实时光谱自动校正(ASC)方法,该方法可以由系统自动执行。提议的ASC方法可以在OCT扫描操作期间执行,并且不需要外部校准光源或商用光谱分析仪。用于校准的光谱数据可以是从可能具有复杂内部结构(例如在生物组织中发现的内部结构)的任意样本获得的干涉图。此外,我们的ASC方法结合了已知的机器人运动来校准静态或动态环境中A扫描的物理像素间距。实验结果表明,我们的ASC方法可以在轴向分辨率和测距精度方面为FD OCT提供高性能的校准,而不会增加硬件的复杂性。

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