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首页> 外文期刊>Ophthalmic surgery, lasers & imaging: the official journal of the International Society for Imaging in the Eye >Quantification of pupil parameters in diseased and normal eyes with near infrared iris transillumination imaging.
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Quantification of pupil parameters in diseased and normal eyes with near infrared iris transillumination imaging.

机译:使用近红外虹膜透射成像对患病和正常眼睛中的瞳孔参数进行定量。

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To investigate near infrared iris transillumination (NIRit) imaging as a new method to quantify pupil shape, size, and position because the imaging modality can uniquely provide simultaneous information regarding iris structural details that influence pupil characteristics and because exploration of related techniques could promote discovery helpful to clinical research and care.Digital NIRit images of normal and diseased eyes were used along with computer-assisted techniques to quantify four primary pupil parameters, including pupil roundness (PR), pupil ovalness (PO), pupil size (PS), and pupil eccentricity (PE). A combined measure of PR and PO was also developed (the pupil circularity index [PCI]). Repeatability of the measures was studied and example analyses were performed.Pupil measures could be calculated for right eyes of 307 subjects (164 normal, 143 other), with fewer than 0.5% exclusions due to image quality. Repeatability study did not show significant bias (P < .05) for any of the four primary measures. Example analyses could show age-associated differences in pupil shape (? 50 year olds had less regular pupils than < 50 year olds: median PCI = 0.009 vs 0.006; P < .01) and that a group of pigment dispersion syndrome subjects (n = 27) had less regular pupils than a group of matched controls (PO = 0.9966 vs 0.9990; P < .05).Digital NIRit imaging can provide novel, reliable, and informative methods to quantify pupil characteristics while providing simultaneous information about iris structure that may influence these parameters.
机译:研究近红外虹膜透照(NIRit)成像是一种量化瞳孔形状,大小和位置的新方法,因为成像方式可以唯一地提供有关影响瞳孔特征的虹膜结构细节的同时信息,并且由于探索相关技术可以促进发现临床和护理的数字NIRit图像与计算机辅助技术一起用于量化四个主要瞳孔参数,包括瞳孔圆度(PR),瞳孔椭圆度(PO),瞳孔大小(PS)和瞳孔偏心率(PE)。还开发了PR和PO的组合测量方法(瞳孔圆度指数[PCI])。研究了这些措施的可重复性并进行了实例分析。可以计算307名受试者(164名正常人,其他143名)右眼的瞳孔措施,由于图像质量,排除率不到0.5%。对于四个主要指标中的任何一个,重复性研究均未显示出明显的偏倚(P <.05)。示例分析可以显示与年龄相关的瞳孔形状差异(≥50岁的正常学生少于<50岁的中学生:PCI中位数= 0.009 vs 0.006; P <0.01)和一组颜料弥散综合症受试者(n = 27)的正常瞳孔数量少于一组匹配的对照组(PO = 0.9966 vs 0.9990; P <.05)。数字NIRit成像可以提供新颖,可靠且信息丰富的方法来量化瞳孔特征,同时提供有关虹膜结构的同步信息影响这些参数。

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