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首页> 外文期刊>Japanese Journal of Ophthalmology >New algorithm to analyze optical coherence tomographic images quantitatively.
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New algorithm to analyze optical coherence tomographic images quantitatively.

机译:定量分析光学相干断层图像的新算法。

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摘要

PURPOSE: To determine whether an algorithm we have developed can be used to measure the retinal thickness on optical coherence tomography (OCT) images. METHODS: Six radial linear scans of 6 mm were made with the OCT instrument. The retinal thickness and volume determined with the built-in algorithm for the OCT instrument for 50 eyes of 50 control subjects with normal retinal boundaries were compared to the values obtained with our algorithm. The macular volume was also measured in 26 eyes of 25 subjects before and after photodynamic therapy (PDT). RESULTS: The values obtained by the two algorithms in normal retinas were strongly correlated (R = 0.99). Bland-Altman plots of the mean differences between the two algorithm measurement values showed excellent agreement. The mean macular volume determined before and 1 week after PDT with the built-in algorithm was significantly larger than that measured with our algorithm (P = 0.035 pre-PDT; P = 0.004 1 week after PDT). CONCLUSIONS: Our algorithm can be usedto obtain a valid measurement of retinal thickness in normal retinas. The macular volume before and 1 week after PDT obtained with the built-in algorithm was larger than those measurements obtained with our algorithm.
机译:目的:要确定我们开发的算法是否可以用于在光学相干断层扫描(OCT)图像上测量视网膜厚度。方法:使用OCT仪器进行6次6 mm的径向线性扫描。使用OCT仪器的内置算法确定的视网膜厚度和体积,将其与正常视网膜边界的50名对照受试者的50只眼睛的50只眼睛进行比较,并与我们的算法获得的值进行比较。在光动力疗法(PDT)之前和之后,还对25位受试者的26只眼睛的黄斑体积进行了测量。结果:这两种算法在正常视网膜中获得的值之间存在高度相关性(R = 0.99)。两个算法测量值之间的均值差的Bland-Altman图显示出极好的一致性。使用内置算法在PDT之前和之后1周确定的平均黄斑体积显着大于使用我们的算法测量的平均黄斑体积(PDT之前P = 0.035; PDT 1周后P = 0.004)。结论:我们的算法可用于获得正常视网膜的视网膜厚度的有效测量值。使用内置算法获得的PDT之前和之后1周的黄斑体积大于使用我们算法获得的测量值。

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