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最小化光学相干断层扫描图像中的视网膜血管伪影。

Minimising retinal vessel artefacts in optical coherence tomography images.

机构信息

Australian School of Advanced Medicine, Macquarie University, Sydney, Australia.

出版信息

Comput Methods Programs Biomed. 2011 Nov;104(2):206-11. doi: 10.1016/j.cmpb.2011.08.005. Epub 2011 Sep 25.

Abstract

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.

摘要

光学相干断层扫描(OCT)常用于研究视网膜的各层结构,包括视网膜神经纤维层(RNFL)和视网膜色素上皮层(RPE)。视网膜表面的血管会改变 OCT 图像,产生伪影。我们提出了一种新的方法来补偿这些伪影,提高 OCT 图像的质量。使用 Spectralis(德国海德堡)共获得 28 张(20 张正常和 8 张青光眼患者)OCT 图像。沿着图像检测阴影,并通过周围未受影响区域的 A 扫描强度差异进行补偿。然后对图像进行分割,测量并比较 RNFL 和 RPE 的面积和厚度。10 名受试者进行了两次测试,以确定这对测量重复性的影响。定性评估时,抑制阴影的图像更能反映视网膜各层的轮廓,最小化失真。RNFL 和 RPE 厚度的分割显示,与原始图像相比,平均变化为 2.4%±1 和 6%±1。在有血管的区域观察到的变化更大。RNFL 厚度的重复性得到了提高,特别是在血管密度较高的位置,即下方和上方。因此,OCT 图像可以通过图像处理程序进行增强。血管伪影可能导致 RNFL 厚度评估出现误差,并且是变异性的来源,这对青光眼等疾病具有临床意义,因为需要准确地随时间监测 RNFL 的细微变化。

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