In this paper, we consider subaperture-based approaches for the digital aberration correction (DAC) of optical coherence tomography (OCT) images. In particular, we introduce a mathematical framework for describing this class of approaches, leading to new insights for the subaperture-correlation method. Furthermore, we propose a novel DAC approach requiring only minimal statistical assumptions on the spectral phase of the scanned object. Finally, we demonstrate the applicability of our novel DAC approach via numerical examples based on both simulated and experimental OCT data.

翻译：本文研究了基于子孔径方法的光学相干断层扫描图像的数字像差校正。具体而言，我们提出了一个数学框架用于描述此类方法，从而为子孔径相关方法提供了新的见解。此外，我们提出了一种新颖的数字像差校正方法，该方法仅需对扫描物体的光谱相位作出最少的统计假设。最后，我们通过基于模拟和实验光学相干断层扫描数据的数值示例，验证了我们新颖的数字像差校正方法的适用性。