Objective: Optical coherence tomography images may be distorted by motion artifacts in dynamic imaging, so it may lead to misdiagnosis in clinical diagnosis. Motion artifacts correction has become an urgent issue in optical coherence tomography imaging.
Methods: Firstly, using the improved complex nonlinear diffusion preprocessing filtering reduced the noise of the sequence images, then using the image mass center aligned the distortion data in the Y direction, finally, using the method of deviation average corrected motion artifacts along the Y direction.
Results: After correction, the motion artifacts in the longitudinal 2D images and the 3D image disappeared, the surface of the 2D and the 3D image became more smooth, the structure between layers of the images got clear and distinct, retinal en-face single slice image was sharp, and the fundus tissue structure could be observed.
Conclusion: The algorithm of correction makes the physical structure of the retinal display truly after motion artifacts correction.
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