基于C扫描的视盘OCT图像运动伪差校正算法的研究

      Study of Motion Artifacts Correction Algorithm in Optical Coherence Tomography Images Based on C-Scan of Optic Disc

      • 摘要: 光学相干层析成像系统(Optical Coherence Tomography,OCT)在进行动态3D成像时由于眼球的非自主运动可能会使采集的图像体数据产生错位和畸变,从而导致临床诊断的误诊、漏诊。由于人眼视盘区的生理结构比黄斑区更为复杂,眼底血管更丰富,采用常规的黄斑区图像校正方法效果不理想。该文针对人眼视盘区OCT图像的结构特点,提出了基于C扫描(enface)图的像素行相关匹配算法来校正X方向的伪差的方法,并且利用该方法还可判断具有运动伪差的图像序列是否有局部图像重复或缺失,借助Y方向参考2D扫描图像,可同时确定重复和缺失的位置和数目。利用此方法进行了模型验证,结果显示该方法能够有效还原真实的图像序列,使眼底视网膜的生理结构得到真实的反映。

         

        Abstract: Optical Coherence Tomography(OCT) system may cause dislocations and distortions of the collected image volumetric? data when proceeding dynamic 3D imaging because of the involuntary movements of eyeball, which will result in misdiagnoses during clinical diagnosis. The optic disk region of human eye has much more complex structure and further more blood vessels compared with macular region, which means the conventional image correction method aiming at macular region can not apply to optic disk region. In this paper, we propose a X direction artifact correcting method based on pixel row correlation matching algorithm of C-Scan, specific to the structural features of human eye optic disk region OCT images. Moreover, using this method, we can estimate whether the image sequences with motion artifacts have part image repetition or missing or not, and we can further confirm the positions and numbers of repetition and missing with the help of Y direction 2D scan images. Model verification indicates that this method can effectively rebuild the real image sequences and truly reflect the physiology structure of retina.

         

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