Roberts Daniel K, Yang Yongyi, Lukic Ana S, Wilensky Jacob T, Wernick Miles N
Illinois Eye Institute, Illinois College of Optometry, Department of Clinical Education, Chicago, IL 60616, USA.
Ophthalmic Surg Lasers Imaging. 2012 May-Jun;43(3):196-204. doi: 10.3928/15428877-20120301-02. Epub 2012 Mar 1.
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.
研究近红外虹膜透照（NIRit）成像作为一种量化瞳孔形状、大小和位置的新方法，因为该成像方式能够独特地同时提供有关影响瞳孔特征的虹膜结构细节的信息，并且探索相关技术可能会促进有助于临床研究和护理的新发现。
使用正常和患病眼睛的数字NIRit图像以及计算机辅助技术来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）和瞳孔偏心度（PE）。还开发了PR和PO的综合测量指标（瞳孔圆度指数[PCI]）。研究了这些测量指标的可重复性并进行了示例分析。
可以计算307名受试者右眼的瞳孔测量值（164名正常受试者，143名其他受试者），因图像质量导致的排除率低于0.5%。重复性研究表明，四个主要测量指标中的任何一个均未显示出显著偏差（P < 0.05）。示例分析可以显示瞳孔形状与年龄相关的差异（≥50岁的受试者瞳孔比<50岁的受试者更不规则：PCI中位数 = 0.009对0.006；P < 0.01），并且一组色素播散综合征受试者（n = 27）的瞳孔比一组匹配的对照组更不规则（PO = 0.9966对0.9990；P < 0.05）。
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，同时提供有关可能影响这些参数的虹膜结构的信息。
