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图像锐化算法可提高三维平视手术期间手术视野的清晰度。

Image sharpening algorithms improve clarity of surgical field during 3D heads-up surgery.

作者信息

Nakajima Kosuke, Inoue Makoto, Takahashi Aya, Yoshikawa Yuji, Mizuno Masaharu, Koto Takashi, Ishida Tomoka, Oshika Tetsuro

机构信息

Kyorin Eye Center, Kyorin University School of Medicine, 6-20-2 Shinkawa, Mitaka, Tokyo, 186-8611, Japan.

Department of Ophthalmology, Faculty of Medicine, Saitama Medical University, 38, Morohongo, Moroyama, Iruma, 350-0495, Saitama, Japan.

出版信息

Int J Retina Vitreous. 2023 Mar 30;9(1):21. doi: 10.1186/s40942-023-00462-z.

Abstract

BACKGROUND

Image-sharpening algorithms with color adjustments enable real-time processing of the surgical field with a delay of 4 msec for heads-up surgery using digital three-dimensional displays. The aim of this study was to investigate the usefulness of the algorithms with the Artevo 800 digital microscope.

METHODS

Seven vitreoretinal surgeons evaluated the effects of image-sharpening processing on the clarity of the surgical field with the Artevo 800 system that is used for cataract and vitreous surgeries. The scorings were made on a 10-point scale for anterior capsulotomy, phacoemulsification, cortex aspiration, core vitrectomy, and peeling of an epiretinal membrane or an internal limiting membrane. In addition, the images during the internal limiting membrane peeling were processed with or without color adjustments. We also evaluated the skewness (asymmetry in the distribution of the pixels) and kurtosis (sharpness in the distribution of the pixel) of the images to evaluate the contrast with each intensity of image-sharpening.

RESULTS

Our results showed that the mean visibility score increased significantly from 4.9 ± 0.5 at 0% (original image) to 6.6 ± 0.5 at 25% intensity of the image-sharpening algorithm (P < 0.01). The visibility scores of the internal limiting membrane increased significantly from 0% (6.8 ± 0.3, no color adjustments) to 50% after the color adjustments (7.4 ± 0.4, P = 0.012). The mean skewness decreased significantly from 0.83 ± 2.02 at 0% (original source) to 0.55 ± 1.36 at 25% intensity of the image-sharpening algorithm (P = 0.01). The mean kurtosis decreased significantly from 0.93 ± 2.14 at 0% (original image) to 0.60 ± 1.44 at 25% intensity of the image-sharpening algorithm (P = 0.02).

CONCLUSIONS

We conclude that the image-sharpening algorithms can improve the clarity of the surgical field during 3D heads-up surgery by decreasing the skewness and kurtosis.

TRIAL REGISTRATION

This was a prospective clinical study performed at a single academic institution, and the procedures used were approved by the Institutional Review Committee of the Kyorin University School of Medicine (reference number, 1904). The procedures also conformed to the tenets of the Declaration of Helsinki.

摘要

背景

具备色彩调整功能的图像锐化算法可实现手术视野的实时处理,在使用数字三维显示器的抬头式手术中延迟为4毫秒。本研究旨在探讨这些算法在阿尔特沃800数字显微镜中的应用价值。

方法

七名玻璃体视网膜外科医生使用用于白内障和玻璃体手术的阿尔特沃800系统,评估图像锐化处理对手术视野清晰度的影响。对前囊切开术、超声乳化术、皮质抽吸术、核心玻璃体切除术以及视网膜前膜或内界膜剥除术进行10分制评分。此外,在内界膜剥除过程中的图像进行了有无色彩调整的处理。我们还评估了图像的偏度(像素分布的不对称性)和峰度(像素分布的锐度),以评估不同图像锐化强度下的对比度。

结果

我们的结果显示,平均可见度评分从0%(原始图像)时的4.9±0.5显著提高到图像锐化算法强度为25%时的6.6±0.5(P<0.01)。内界膜的可见度评分从0%(6.8±0.3,无色彩调整)在色彩调整后显著提高到50%时的7.4±0.4(P=0.012)。平均偏度从0%(原始图像)时的0.83±2.02显著降低到图像锐化算法强度为25%时的0.55±1.36(P=0.01)。平均峰度从0%(原始图像)时的0.93±2.14显著降低到图像锐化算法强度为25%时的0.60±1.44(P=0.02)。

结论

我们得出结论,图像锐化算法可通过降低偏度和峰度来提高三维抬头式手术中手术视野的清晰度。

试验注册

这是一项在单一学术机构进行的前瞻性临床研究,所采用的程序经杏林大学医学院机构审查委员会批准(参考编号,1904)。这些程序也符合《赫尔辛基宣言》的原则。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2711/10061996/a11ecaea877e/40942_2023_462_Fig1_HTML.jpg

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