Effects of Image Processing Using Honeycomb-Removal and Image-Sharpening Algorithms on Visibility of 27-Gauge Endoscopic Vitrectomy

Tasaki, Kuniharu; Nishimura, Tomohisa; Hida, T; Maruo, Kazushi; Oshika, Tetsuro

doi:10.3390/jcm11195666

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Görüntüleme ve veri analitiği gibi gelişmiş teknolojiler, hastaya özel tedavi planlamasına yardımcı olabilir. 29 Oftalmik cerrahların vitrektomi cerrahisini optimize edebilmeleri için trokarların, probların ve görev döngülerinin karmaşık ayrıntılarını anlamaları çok önemlidir. Trokar ve prob tasarımındaki gelişmeler, verimli görev döngüleri ile birleştiğinde vitreoretinal cerrahi alanında devrim yaratmıştır.…”

Section: Görev Döngüleriunclassified

Trocars, Probes and Duty Cycles in Vitrectomy Devices

HOROZOĞLU,

ŞENER

2023

CRJ

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Vitrectomy, a surgical procedure for treating various retinal disorders, has evolved significantly with advancements in instrumentation and techniques. Trocars, probes, and duty cycles are integral components of vitrectomy devices, playing crucial roles in ensuring optimal surgical outcomes. This review aims to provide a comprehensive analysis of trocars, probes, and duty cycles, exploring their functionality, advancements, and their impact on vitrectomy surgery. By understanding the intricate details of these components, ophthalmic surgeons can enhance their surgical precision, efficiency, and patient outcomes.

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Section: Görev Döngüleriunclassified

Trocars, Probes and Duty Cycles in Vitrectomy Devices

HOROZOĞLU,

ŞENER

2023

CRJ

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Effects of image-sharpening algorithm on surgical field visibility during 3D heads-up surgery for vitreoretinal diseases

Nakajima

Inoue

Mizuno

et al. 2023

Sci Rep

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We conducted clinical and experimental studies to investigate the effects of image-sharpening algorithms and color adjustments, which enabled real-time processing of live surgical images with a delay of 0.004 s. The images were processed with image-sharpening intensities of 0%, 12.5%, 25%, and 50% during cataract surgery, vitrectomy, peeling of epiretinal membrane, and peeling of internal limiting membrane (ILM) with the Ngenuity 3D visualization system. In addition, the images obtained with a yellow filter during the ILM peeling were processed with color adjustments. Five vitreoretinal surgeons scored the clarity of the images on a 10-point scale. The images of a 1951 United States Air Force grating target placed in no fluid (control), saline, and 0.1% and 1% milk solution were evaluated. The results showed that the mean visibility score increased significantly from 5.0 ± 0.6 at 0% to 6.4 ± 0.6 at 12.5%, 7.3 ± 0.7 at 25%, and 7.5 ± 0.9 at 50% (P < 0.001). The visibility scores during ILM peeling improved significantly with color adjustments (P = 0.005). In the experimental study, the contrast of the grating targets blurred by the 0.1% and 1% milk solution increased significantly by the image-sharpening procedure. We conclude that the image-sharpening algorithms and color adjustments improved the intraoperative visibility of 3D heads-up surgery.

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

et al. 2023

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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.

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Effects of Image Processing Using Honeycomb-Removal and Image-Sharpening Algorithms on Visibility of 27-Gauge Endoscopic Vitrectomy

Cited by 3 publications

References 9 publications

Trocars, Probes and Duty Cycles in Vitrectomy Devices

Trocars, Probes and Duty Cycles in Vitrectomy Devices

Effects of image-sharpening algorithm on surgical field visibility during 3D heads-up surgery for vitreoretinal diseases

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

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