Quantification of pupil parameters in diseased and normal eyes with near infrared iris transillumination imaging.

Ophthalmic Surgery Lasers & Imaging Pub Date : 2012-05-01 Epub Date: 2012-03-01 DOI:10.3928/15428877-20120301-02
Daniel K Roberts, Yongyi Yang, Ana S Lukic, Jacob T Wilensky, Miles N Wernick
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引用次数: 7

Abstract

Background and objective: 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.

Patients and methods: 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.

Results: 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).

Conclusion: 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.

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近红外虹膜透照成像对病眼和正常眼瞳孔参数的定量分析。
背景与目的:研究近红外虹膜透射成像(NIRit)作为一种量化瞳孔形状、大小和位置的新方法,因为成像方式可以独特地同时提供影响瞳孔特征的虹膜结构细节信息,并且探索相关技术可以促进发现有助于临床研究和护理。患者和方法:使用正常和病变眼睛的数字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)和瞳孔偏心率(PE)。还开发了PR和PO的联合测量方法(瞳孔圆度指数[PCI])。研究了测量结果的可重复性,并进行了算例分析。结果:307例受试者(正常眼164例,非正常眼143例)右眼可计算瞳孔测量值,因图像质量原因排除率小于0.5%。四项主要测量的可重复性研究均未显示显著偏倚(P < 0.05)。举例分析可以显示瞳孔形状的年龄相关差异(≥50岁的人比< 50岁的人有更少的正常瞳孔:中位PCI = 0.009 vs 0.006;P < 0.01),并且色素分散综合征组(n = 27)的正常瞳孔少于匹配对照组(PO = 0.9966 vs 0.9990;P < 0.05)。结论:数字NIRit成像可以提供新颖、可靠和信息丰富的方法来量化瞳孔特征,同时提供可能影响这些参数的虹膜结构信息。
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期刊介绍: Ophthalmic Surgery, Lasers and Imaging, an official publication of ARVO/ISIE, provides clinically valuable, practical articles in the field of ophthalmology on a bimonthly basis. The Journal publishes original, peer-reviewed articles that delve into the entire spectrum of ophthalmic surgery and treatment, including experimental science, surgical techniques, and video surgical clips. Subscribers can also benefit from our featured On Line Advanced Release—read articles before they appear in the print issue!
期刊最新文献
Assessment of intrastromal corneal ring segment position with anterior segment optical coherence tomography. Quantification of pupil parameters in diseased and normal eyes with near infrared iris transillumination imaging. Single-shot dimension measurements of the mouse eye using SD-OCT. Evaluation of clear corneal wound dynamics with contrast-enhanced spectral-domain optical coherence tomography. Histopathology of peripapillary choroidal neovascularization.
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