Minaker Samuel A, Mason Ryan H, Chow David R
Department of Ophthalmology, St. Michael's Hospital, Toronto, Canada.
Department of Ophthalmology & Vision Sciences, University of Toronto, Toronto, Canada.
Ophthalmol Sci. 2021 Aug 24;1(3):100054. doi: 10.1016/j.xops.2021.100054. eCollection 2021 Sep.
To evaluate the effect of surgeon-controlled parameters on the color performance of the Ngenuity 3-dimensional (3D) visualization system.
A calibrated reference target was placed inside a model eye to assess the Ngenuity 3D camera under different settings. The Ngenuity 3D display was assessed with a commercial colorimeter.
Manufacturer-recommended methodology for white balancing was compared against all common deviations in technique. Following white balance, images of a calibrated reference target were extracted and tested using Imatest Master software to calculate quantitative color differences (delta E and delta C). The Ngenuity monitor was assessed using a SpyderX Elite commercial colorimeter to assess for image burn-in by quantifying color uniformity and maximum luminescence.
Delta E and delta C were calculated for all variables. Color uniformity and luminance were assessed in candelas per square meter (nits).
Color performance using the manufacturer-recommended specifications yielded a delta E of 12.81 ± 1.67. Changing the white balance target to a videography grey card ( = 0.07) and 4 × 4 gauze ( = 0.37) provided similar performance, whereas using white computer paper or the operator's palm significantly increased the delta E from 12.81 ± 1.67 to 15.28 ± 1.22 ( = 0.01) and 17.71 ± 2.03 ( < 0.01), respectively. Changes to card position, magnification, stability, or ambient lighting did not significantly impact white balance results, whereas having the card in crisp focus did decrease color accuracy (15.78 ± 1.63; = 0.03). Minor improvement in performance occurred when the laser filter was off for white balance and image acquisition (9.28 ± 0.25; < 0.01), but deterioration occurred if the laser filter was placed after balancing (16.59 ± 1.17; < 0.01). Both light sources of 23-gauge light pipe at 34% intensity and 25-gauge chandelier at 50% intensity gave similar color accuracy ( = 0.37). When comparing different Ngenuity machines, color uniformity and maximum luminescence decreased with increased device use.
Overall, the Ngenuity 3D has robust color performance. A few limitations of both the camera and monitor were identified, and surgeons should be aware of these pitfalls as well as solutions examined herein to mitigate their effects during surgery.
评估外科医生控制的参数对Ngenuity三维(3D)可视化系统颜色性能的影响。
将校准后的参考目标放置在模型眼内,以在不同设置下评估Ngenuity 3D摄像头。使用商用色度计评估Ngenuity 3D显示器。
将制造商推荐的白平衡方法与所有常见的技术偏差进行比较。白平衡之后,提取校准参考目标的图像,并使用Imatest Master软件进行测试,以计算定量颜色差异(ΔE和ΔC)。使用SpyderX Elite商用色度计评估Ngenuity显示器,通过量化颜色均匀性和最大发光度来评估图像烙印。
计算所有变量的ΔE和ΔC。以每平方米坎德拉(尼特)为单位评估颜色均匀性和亮度。
使用制造商推荐的规格时,颜色性能的ΔE为12.81±1.67。将白平衡目标更改为摄像灰度卡(Δ = 0.07)和4×4纱布(Δ = 0.37)可提供相似的性能,而使用白色电脑纸或操作员的手掌会使ΔE分别从12.81±1.67显著增加到15.28±1.22(P = 0.01)和17.71±2.03(P < 0.01)。卡片位置、放大倍数、稳定性或环境光的变化对白平衡结果没有显著影响,而使卡片对焦清晰确实会降低颜色准确性(15.78±1.63;P = 0.03)。在白平衡和图像采集时关闭激光滤镜,性能有轻微改善(9.28±0.25;P < 0.01),但如果在白平衡后放置激光滤镜,性能会下降(16.59±1.17;P < 0.01)。34%强度的23号光导管和50%强度的25号吊灯这两种光源的颜色准确性相似(P = 0.37)。比较不同的Ngenuity机器时,颜色均匀性和最大发光度会随着设备使用次数的增加而降低。
总体而言,Ngenuity 3D具有强大的颜色性能。已确定摄像头和显示器的一些局限性,外科医生应了解这些陷阱以及本文研究的解决方案,以便在手术期间减轻其影响。