Abstract：
A number of hardware-based and software-based strategies have been suggested to eliminate motion artifacts for improvement of 3D-optical coherence tomography (OCT) image quality. However, the hardware-based strategies have to employ additional hardware to record motion compensation information. Many software-based strategies have to need additional scanning for motion correction at the expense of longer acquisition time. To address this issue, we propose a motion artifacts correction and motion estimation method for OCT volumetric imaging of anterior segment, without requirements of additional hardware and redundant scanning. The motion correction effect with subpixel accuracy for in vivo 3D-OCT has been demonstrated in experiments. Moreover, the physiological information of imaging object, including respiratory curve and respiratory rate, has been experimentally extracted using the proposed method. The proposed method offers a powerful tool for scientific research and clinical diagnosis in ophthalmology and may be further extended for other biomedical volumetric imaging applications.
摘要：
已经提出了许多基于硬件和基于软件的策略来消除运动伪影，以改善3D光学相干断层扫描（OCT）图像质量。然而,基于硬件的策略必须采用额外的硬件来记录运动补偿信息。许多基于软件的策略必须以更长的采集时间为代价需要额外的扫描以进行运动校正。为了解决这个问题，提出了一种用于眼前节OCT体积成像的运动伪影校正和运动估计方法,无需额外的硬件和冗余扫描。已经在实验中证明了体内3D-OCT的具有亚像素精度的运动校正效果。此外，成像对象的生理信息，包括呼吸曲线和呼吸频率，已经使用所提出的方法进行了实验提取。所提出的方法为眼科的科学研究和临床诊断提供了强大的工具，并且可以进一步扩展到其他生物医学体积成像应用。
