Mavadia-Shukla Jessica, Zhang Jianlin, Li Kaiyan, Li Xingde
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.
J Innov Opt Health Sci. 2020 Nov;13(6). doi: 10.1142/s1793545820500303.
We present a robust and fiducial-marker-free algorithm that can identify and correct stick-slip distortion caused by nonuniform rotation (or beam scanning) in distally scanned catheters for endoscopic optical coherence tomography (OCT) images. This algorithm employs spatial frequency analysis to select and remove distortions. We demonstrate the feasibility of this algorithm on images acquired from rat colon with a distally scanned DC motor-based endoscope. The proposed algorithm can be applied to general endoscopic OCT images for correcting nonuniform rotation distortion.
我们提出了一种强大的、无需基准标记的算法，该算法可以识别并校正用于内镜光学相干断层扫描（OCT）图像的远端扫描导管中由不均匀旋转（或光束扫描）引起的粘滑失真。此算法采用空间频率分析来选择并消除失真。我们在通过基于直流电机的远端扫描内窥镜从大鼠结肠获取的图像上证明了该算法的可行性。所提出的算法可应用于一般的内镜OCT图像，以校正不均匀旋转失真。
