Robust wavenumber and dispersion calibration for Fourier-domain optical coherence tomography
Robust wavenumber and dispersion calibration for Fourier-domain optical coherence tomography
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DOI：
10.1364/oe.26.009081
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发表时间：
2018-04-02
期刊：
影响因子：
3.8
通讯作者：
Bouma, Brett E.
中科院分区：
文献类型：
--
作者：
Uribe-Patarroyo, Nestor;Kassani, Sahar Hosseinzadeh;Bouma, Brett E.
许多傅里叶域光学相干断层扫描（FD-OCT）系统以非均匀波数（k）间隔对干涉条纹进行采样，从而向信号引入取决于每个条纹下的路径长度差的啁啾。样品臂和参考臂之间的色散不平衡也在条纹信号中产生啁啾，相反，啁啾与深度无关。条纹内插以获得在k中线性的信号并补偿色散不平衡对于实现带宽受限的轴向分辨率至关重要。在这项工作中，我们提出了一种基于优化的算法来执行强大的和自动化的FD-OCT系统的校准，恢复插值函数和色散不平衡。我们的技术依赖于这样一个事实，即正确线性化的条纹数据在k空间中的独特功能产生一个深度无关的啁啾。校准过程需要对应于单个反射器在不同深度位置处的实验数据，这可以通过在深度上移动样品反射镜的同时获取数据来容易地获得。我们已经测试了具有各种非线性的谱域OCT和扫频源OCT系统。结果表明，所提出的校准方法具有良好的性能在广泛的数据集，并使几乎恒定的分辨率在所有成像深度。该算法的实现可在线获得。(C)根据OSA开放获取出版协议的条款，2018年美国光学学会。
Many Fourier-domain optical coherence tomography (FD-OCT) systems sample the interference fringes with a non-uniform wavenumber (k) interval, introducing a chirp to the signal that depends on the path length difference underlying each fringe. A dispersion imbalance between sample and reference arms also generates a chirp in the fringe signal which, in contrast, is independent of depth. Fringe interpolation to obtain a signal linear in k and compensate dispersion imbalance is critical to achieving bandwidth-limited axial resolution. In this work, we propose an optimization-based algorithm to perform robust and automated calibration of FD-OCT systems, recovering both the interpolation function and the dispersion imbalance. Our technique relies on the fact that the unique function that correctly linearizes the fringe data in k space produces a depth-independent chirp. The calibration procedure requires experimental data corresponding to a single reflector at various depth locations, which can easily be obtained by acquiring data while moving a sample mirror in depth. We have tested both spectral domain OCT and swept source OCT systems with various nonlinearities. Results indicate that the proposed calibration method has excellent performance on a wide range of data sets and enables nearly constant resolution at all imaging depths. An implementation of the algorithm is available online. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.