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客观确定视网膜光谱域光学相干断层扫描图像平均所需的最佳数量。

Objective determination of optimal number of spectral-domain optical coherence tomographic images of retina to average.

作者信息

Shirasawa Makoto, Sakamoto Taiji, Terasaki Hiroto, Yamashita Takehiro, Uchino Eisuke, Sonoda Shozo

机构信息

Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.

出版信息

PLoS One. 2014 Oct 22;9(10):e110550. doi: 10.1371/journal.pone.0110550. eCollection 2014.

Abstract

PURPOSE

To determine by objective methods the minimum number of spectral-domain optical coherence tomographic (SD-OCT) images to average to obtain the clearest retinal image.

METHODS

SD-OCT Images were obtained from 9 healthy eyes and also from a phantom eye model. The SD-OCT images were obtained by averaging 1, 5, 20, 60, and 100 B-scan images. The reflectivity (mean gray value) of the different retinal layers was evaluated in these images. The image quality was evaluated by the size of the standard deviations (SDs) and the contrast-to-noise ratios (CNRs). A phantom eye model made by TiO2 silicone plates was also examined.

RESULTS

The SDs decreased significantly when the number of images averaged increased from 1 to 5 and also from 5 to 20 (P<0.05, post hoc Tukey's honestly significant difference tests). The SD of the automatic real time averaging of 1 (ART = 1) and ART = 5 were significantly larger than the SD of ART = 100 (P<0.05). The SDs of all other averaged numbers were not significantly larger than that of ART = 100. The CNR increased with an increase in the number of images averaged, and there was a significant increase between ART = 1 to 5 and between ART = 5 to 20 (P<0.05). No significant differences in the CNR was observed between ART = 5, ART = 20 and ART = 60. Similar results were obtained with the phantom eye model.

CONCLUSIONS

Although the image quality of the SD-OCT images of the retina improved with an increase in the number of images averaged, it does not improve significantly by averaging more than 20 images.

摘要

目的

通过客观方法确定平均所需的光谱域光学相干断层扫描(SD - OCT)图像的最小数量,以获得最清晰的视网膜图像。

方法

从9只健康眼睛以及一个模拟眼模型获取SD - OCT图像。通过平均1、5、20、60和100幅B扫描图像来获取SD - OCT图像。在这些图像中评估不同视网膜层的反射率(平均灰度值)。通过标准差(SD)大小和对比度噪声比(CNR)评估图像质量。还检查了由二氧化钛硅胶板制成的模拟眼模型。

结果

当平均图像数量从1增加到5以及从5增加到20时,标准差显著降低(P<0.05,事后Tukey真实显著性差异检验)。自动实时平均为1(ART = 1)和ART = 5时的标准差显著大于ART = 100时的标准差(P<0.05)。所有其他平均数量的标准差均不显著大于ART = 100时的标准差。对比度噪声比随着平均图像数量的增加而增加,并且在ART = 1到5之间以及ART = 5到20之间有显著增加(P<0.05)。在ART = 5、ART = 20和ART = 60之间未观察到对比度噪声比有显著差异。模拟眼模型得到了类似结果。

结论

虽然视网膜SD - OCT图像的质量随着平均图像数量的增加而提高,但平均超过20幅图像时质量提升并不显著。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a027/4206300/ab562596a834/pone.0110550.g001.jpg

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