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Optical coherence tomography (OCT) image quality is sensitive to eye movements during image acquisition. Image registration is a common approach to compensate for the movement and then improve image quality. Recently, it was observed that the performance of image registration algorithms is highly affected by the anisotropic resolution of OCT images. In this study, the residual distortion (RD) was quantitively analyzed over different degrees of rotational movements and various lateral and axial pixel resolution ratio (RL/RA). The theoretical analysis confirmed that RD increases significantly with the rotation degree and RL/RA. An image resizing assisting registration (RAR) strategy was proposed for accurate registration. The performance of direct registration (DR) and RAR for retinal OCT and OCTA images were quantitatively compared. Experimental results confirmed that unnormalized RL/RA causes RD, RAR can effectively improve the performance of OCT and OCTA image registration and distortion compensation.
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