Optimizing Color Performance of the Ngenuity 3-Dimensional Visualization System

Purpose: To evaluate the effect of surgeon-controlled parameters on the color performance of the Ngenuity 3-dimensional (3D) visualization system. Design: A calibrated reference target was placed inside a model eye to assess the Ngenuity 3D camera under different settings. The Ngenuity 3D display wa...

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Bibliographic Details
Main Authors: Samuel A. Minaker, MD, MSC, Ryan H. Mason, MD, PhD, David R. Chow, MD, FRCSC
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Ophthalmology Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266691452100052X
Description
Summary:Purpose: To evaluate the effect of surgeon-controlled parameters on the color performance of the Ngenuity 3-dimensional (3D) visualization system. Design: 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. Methods: 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. Main Outcome Measures: Delta E and delta C were calculated for all variables. Color uniformity and luminance were assessed in candelas per square meter (nits). Results: 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 (P = 0.07) and 4 × 4 gauze (P = 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 (P = 0.01) and 17.71 ± 2.03 (P < 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; P = 0.03). Minor improvement in performance occurred when the laser filter was off for white balance and image acquisition (9.28 ± 0.25; P < 0.01), but deterioration occurred if the laser filter was placed after balancing (16.59 ± 1.17; P < 0.01). Both light sources of 23-gauge light pipe at 34% intensity and 25-gauge chandelier at 50% intensity gave similar color accuracy (P = 0.37). When comparing different Ngenuity machines, color uniformity and maximum luminescence decreased with increased device use. Conclusions: 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.
ISSN:2666-9145