采用多类型图像配准的精确运动校正利萨如光学相干断层扫描技术
Accurately motion-corrected Lissajous OCT with multi-type image registration.
作者信息
Makita Shuichi, Miura Masahiro, Azuma Shinnosuke, Mino Toshihiro, Yamaguchi Tatsuo, Yasuno Yoshiaki
机构信息
Computation Optics Group, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan.
Computational Optics and Ophthalmology Group, Ibaraki, Japan.
出版信息
Biomed Opt Express. 2020 Dec 24;12(1):637-653. doi: 10.1364/BOE.409004. eCollection 2021 Jan 1.
Passive motion correction methods for optical coherence tomography (OCT) use image registration to estimate eye movements. To improve motion correction, a multi-image cross-correlation that employs spatial features in different image types is introduced. Lateral motion correction using OCT and OCT-A projections on Lissajous-scanned OCT data is applied. Motion correction using OCT-A projection of whole depth and OCT amplitude, OCT logarithmic intensity, and OCT maximum intensity projections were evaluated in retinal imaging with 76 patients. The proposed method was compared with motion correction using OCT-A projection of whole depth. The comparison shows improvements in the image quality of motion-corrected superficial OCT-A images and image registration.
光学相干断层扫描（OCT）的被动运动校正方法利用图像配准来估计眼球运动。为了改进运动校正，引入了一种利用不同图像类型中的空间特征的多图像互相关方法。将基于Lissajous扫描OCT数据的OCT和OCT-A投影进行横向运动校正。在76例患者的视网膜成像中，对使用全深度OCT-A投影以及OCT振幅、OCT对数强度和OCT最大强度投影进行运动校正的效果进行了评估。将所提出的方法与使用全深度OCT-A投影进行运动校正的方法进行了比较。比较结果表明，运动校正后的浅表OCT-A图像的图像质量和图像配准均有改善。
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