Effects of Image Processing Using Honeycomb-Removal and Image-Sharpening Algorithms on Visibility of 27-Gauge Endoscopic Vitrectomy.
Effects of Image Processing Using Honeycomb-Removal and Image-Sharpening Algorithms on Visibility of 27-Gauge Endoscopic Vitrectomy.
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DOI：
10.3390/jcm11195666
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发表时间：
2022-09-26
影响因子：
3.9
通讯作者：
Oshika T
中科院分区：
文献类型：
--
作者：
Tasaki K;Nishimura T;Hida T;Maruo K;Oshika T
使用小规格探针的内窥镜玻璃体切除术具有临床潜力，但由于光纤数量减少，眼内可见度固有地受到低分辨率和昏暗照明的限制。我们研究了蜂窝去除和图像锐化算法（能够以0.004 s的延迟实时处理实时图像）是否可以提高27号内镜玻璃体切除术的可见性。在内窥镜玻璃体切除术期间共准备了33张图像，包括11张原始图像、11张蜂窝去除过程后的图像和11张蜂窝去除和图像锐化过程后的图像。他们被随机交给18名玻璃体外科医生，他们对每张图像进行10分制评分。蜂窝去除算法几乎完全抑制蜂窝伪影，而不会降低背景图像质量。图像锐化算法的实施通过优化对比度和增强图像清晰度进一步提高了内窥镜的可见性。可见性评分从原始图像的4.27 ± 1.78显著提高到蜂窝去除过程后图像的4.72 ± 2.00（p < 0.001，线性混合效应模型），以及蜂窝去除和图像锐化过程后图像的5.40 ± 2.10（p < 0.001）。当分别分析10名熟悉内镜玻璃体切除术的外科医生和8名不熟悉的外科医生的可视性评分时，获得了相似的结果。图像处理与蜂窝删除和图像锐化算法显着提高了27号内镜玻璃体切除术的可视性。
Endoscopic vitrectomy with small gauge probes has clinical potentials, but intraocular visibility is inherently limited by low resolution and dim illumination due to the reduced number of optic fibers. We investigated whether honeycomb-removal and image-sharpening algorithms, which enable real-time processing of live images with a delay of 0.004 s, can improve the visibility of 27-gauge endoscopic vitrectomy. A total of 33 images during endoscopic vitrectomy were prepared, consisting of 11 original images, 11 images after the honeycomb-removal process, and 11 images after both honeycomb-removal and image-sharpening procedures. They were randomly presented to 18 vitreous surgeons, who rated each image on a 10-point scale. The honeycomb-removal algorithm almost completely suppressed honeycomb artifacts without degrading the background image quality. The implementation of image-sharpening algorithms further improved endoscopic visibility by optimizing contrast and augmenting image clarity. The visibility score was significantly improved from 4.27 ± 1.78 for the original images to 4.72 ± 2.00 for the images after the honeycomb-removal process (p < 0.001, linear mixed effects model), and to 5.40 ± 2.10 for the images after both the honeycomb-removal and image-sharpening procedures (p < 0.001). When the visibility scores were analyzed separately for 10 surgeons who were familiar with endoscopic vitrectomy and 8 surgeons who were not, similar results were obtained. Image processing with honeycomb-removal and image-sharpening algorithms significantly improved the visibility of 27-gauge endoscopic vitrectomy.
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