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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Minimising retinal vessel artefacts in optical coherence tomography images.
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Minimising retinal vessel artefacts in optical coherence tomography images.

机译：在光学相干断层扫描图像中最小化视网膜血管伪影。

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摘要

Optical coherence tomography (OCT) is commonly used to investigate the layers of the retina including retinal nerve fiber layer (RNFL) and retinal pigment epithelium (RPE). OCT images are altered by vessels on the retinal surface producing artefacts. We propose a new approach to compensate for these artefacts and enhance quality of OCT images. A total of 28 (20 normal and 8 glaucoma subjects) OCT images were obtained using Spectralis (Heidelberg, Germany). Shadows were detected along the image and compensated by the A-Scan intensity difference from surrounding non-affected areas. Images were then segmented and the area and thickness of RNFL and RPE were measured and compared. 10 subjects were tested twice to determine the effect of this on reproducibility of measurements. Shadow-suppressed images reflected the profile of the retinal layers more closely when assessed qualitatively, minimising distortion. The segmentation of RNFL and RPE thickness demonstrated a mean change of 2.4% +/- 1 and 6% +/- 1 from the original images. Much larger changes were observed in areas with vessels. Reproducibility of RNFL thickness was improved, specifically in the higher density vessel location, i.e. inferior and superior. Therefore, OCT images can be enhanced by an image processing procedure. Vessel artefacts may cause errors in assessment of RNFL thickness and are a source of variability, which has clinical implications for diseases such as glaucoma where subtle changes in RNFL need to be monitored accurately over time.
机译：光学相干断层扫描（OCT）通常用于研究视网膜的各层，包括视网膜神经纤维层（RNFL）和视网膜色素上皮（RPE）。视网膜表面的血管改变了OCT图像，产生了伪像。我们提出了一种新的方法来补偿这些伪像并提高OCT图像的质量。使用Spectralis（德国海德堡）获得了总共28张（20名正常人和8名青光眼受试者）OCT图像。沿图像检测到阴影，并通过A-Scan强度差异来补偿周围未受影响的区域。然后分割图像，并测量和比较RNFL和RPE的面积和厚度。对10位受试者进行了两次测试，以确定其对测量结果可重复性的影响。定性评估时，阴影抑制的图像更紧密地反映了视网膜层的轮廓，从而将失真最小化。 RNFL和RPE厚度的分割显示原始图像的平均变化为2.4％+/- 1和6％+/- 1。在有血管的区域观察到更大的变化。 RNFL厚度的可重复性得到了改善，特别是在较高密度的血管位置（即劣等和优等）中。因此，可以通过图像处理过程来增强OCT图像。血管伪影可能会导致RNFL厚度评估错误，并且是变异性的来源，这对青光眼等疾病具有临床意义，因为随着时间的推移，需要准确监测RNFL的细微变化。

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