![]() ![]() While patient- and operator-related artifacts can, to some extent, be controlled, software-related mistakes are inevitable and are now the most prevalent. 4, 7 The misidentification of retinal borders can affect the retinal thickness, which is important in follow-up examination of some retinal disorders such as AMD. 5, 7 Misidentification of retinal boundaries occurred frequently in retinal disorders, including vitreoretinal interface disorders and age-related macular degeneration (AMD). Identifying and understanding the OCT artifacts have clinical importance in the correct interpretation of the observed findings in OCT and OCTA images. ![]() 3, 4 The prevalence of image artifact in OCT angiography (OCTA) is comparable with structural OCT. As many as 90.9% of scans had at least one artifact, 3 and clinically, significant artifacts were observed in 6–8.0% of scans. 2 Some studies characterized the types and frequencies of image artifacts of macular spectral-domain OCT (SD-OCT) in the evaluation of retinal diseases. OCT artifacts could be patient-, operator-, software-, and hardware-related and also can occur during image acquisition, processing, and/or analysis. Detecting the kind of artifacts on OCT images has their effect on the interpretation of the image. 1 Using OCT, much information can be obtained such as automatically measured retinal thickness and parallelism of retinal layers. Optical coherence tomography (OCT) provides depth-resolved non-invasive imaging from retinal layers. ![]()
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