de Wit Jos, Angelopoulos Kostas, Kalkman Jeroen, Glentis George-Othon
Opt Express. 2021 Nov 22;29(24):39946-39966. doi: 10.1364/OE.439761.
Spectral-estimation OCT (SE-OCT) is a computational method to enhance the axial resolution beyond the traditional bandwidth limit. However, it has not yet been used widely due to its high computational load, dependency on user-optimized parameters, and inaccuracy in intensity reconstruction. In this study, we implement SE-OCT using a fast implementation of the iterative adaptive approach (IAA). This non-parametric spectral estimation method is optimized for use on OCT data. Both in simulations and experiments we show an axial resolution improvement with a factor between 2 and 10 compared to standard discrete Fourier transform. Contrary to parametric methods, IAA gives consistent peak intensity and speckle statistics. Using a recursive and fast reconstruction scheme the computation time is brought to the sub-second level for a 2D scan. Our work shows that SE-OCT can be used for volumetric OCT imaging in a reasonable computation time, thus paving the way for wide-scale implementation of super-resolution OCT.
光谱估计光学相干断层扫描（SE-OCT）是一种计算方法，可在传统带宽限制之外提高轴向分辨率。然而，由于其计算量大、依赖用户优化参数以及强度重建不准确，它尚未得到广泛应用。在本研究中，我们使用迭代自适应方法（IAA）的快速实现来实现SE-OCT。这种非参数光谱估计方法针对OCT数据进行了优化。在模拟和实验中，我们都表明与标准离散傅里叶变换相比，轴向分辨率提高了2到10倍。与参数方法不同，IAA给出了一致的峰值强度和散斑统计。使用递归和快速重建方案，2D扫描的计算时间缩短到了亚秒级。我们的工作表明，SE-OCT可以在合理的计算时间内用于体积OCT成像，从而为超分辨率OCT的大规模应用铺平了道路。
