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  • 标题:Analysis of Various Artifacts Produced by Spectral-Domain Optical Coherence Tomography Based on Macular Pathologies
  • 本地全文:下载
  • 作者:Shin, Yong Woon ; Lee, Ju Hyang ; Jun, Jae Yeon
  • 期刊名称:Journal of the Korean Ophthalmological Society
  • 印刷版ISSN:0378-6471
  • 出版年度:2010
  • 卷号:51
  • 期号:8
  • 页码:1084-1091
  • DOI:10.3341/jkos.2010.51.8.1084
  • 语种:Korean
  • 出版社:The Korean Ophthalmological Society
  • 摘要:Purpose

    To report the frequency, severity and various types of artifacts associated with spectral-domain optical coherence tomography (SD-OCT) based on macular pathologies.

    Methods

    Data was collected retrospectively from 116 eyes of 116 subjects. SD-OCT (3D-1000, Topcon Corp., Japan) imaging was performed in 40 healthy eyes, 45 eyes with intraretinal pathology (IRP) and 31 eyes with subretinal pathology (SRP). The scan protocol was 12×6 mm radial scan. The frequency and types of artifacts were investigated in each scan and were analyzed based on macular disease. Additionally, the effect of artifacts on the measurement of macular thickness was studied.

    Results

    Errors occurred in 77 eyes (66.38%). Inner retinal boundary misidentification (IRBM) was the most common error (25.86%), with the frequencies of other types of artifacts being 10.34% for off-center fixation, 15.52% for degraded image and 8.6% for outer retinal boundary misidentification (ORBM). The overall error rate of SD-OCT in the retinal pathology group was much higher than that in the normal group. Macular thickness was underestimated in the IRP group because the outer retinal boundary of the IRP group tended to be misidentified toward the inner retina ( p <0.01).

    Conclusions

    SD-OCT can frequently cause various types of artifacts in patients with macular disease. When interpreting OCT images, the artifacts of SD-OCT should be considered in order to obtain accurate macular thickness and to prevent erroneous clinical decisions.

  • 关键词:Artifact; Macular disease; Segmentation error; Spectral domain optical coherence tomography
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