用于机器人手术的傅里叶域光学相干断层扫描的自动在线光谱校准
Automatic online spectral calibration of Fourier-domain OCT for robotic surgery.
作者信息
Liu Xuan, Balicki Marcin, Taylor Russell H, Kang Jin U
机构信息
Department of Electrical and Computer Engineering, Johns Hopkins University.
出版信息
Proc SPIE Int Soc Opt Eng. 2011;7890. doi: 10.1117/12.875210. Epub 2011 Feb 21.
Abstract
We present a new automatic spectral calibration (ASC) method for spectral Domain optical coherence tomography (SD-OCT). Our ASC method calibrates the spectral mapping of the spectrometer in SD-OCT, and does not require external calibrating light source or a commercial spectral analyzer. The ASC method simultaneously calibrates the physical pixel spacing of the A-scan in static and dynamic environments. Experimental results show that the proposed ASC method can provide satisfactory calibration for SD-OCT to achieve high axial resolution and high ranging accuracy, without increasing hardware complexity.
摘要
我们提出了一种用于光谱域光学相干断层扫描（SD-OCT）的新型自动光谱校准（ASC）方法。我们的ASC方法可校准SD-OCT中光谱仪的光谱映射，且不需要外部校准光源或商用光谱分析仪。该ASC方法可在静态和动态环境中同时校准A扫描的物理像素间距。实验结果表明，所提出的ASC方法可为SD-OCT提供令人满意的校准，以实现高轴向分辨率和高测距精度，而无需增加硬件复杂性。
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