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

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(®) digi...

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Autores principales: Nakajima, Kosuke, Inoue, Makoto, Takahashi, Aya, Yoshikawa, Yuji, Mizuno, Masaharu, Koto, Takashi, Ishida, Tomoka, Oshika, Tetsuro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061996/
https://www.ncbi.nlm.nih.gov/pubmed/36998005
http://dx.doi.org/10.1186/s40942-023-00462-z
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author Nakajima, Kosuke
Inoue, Makoto
Takahashi, Aya
Yoshikawa, Yuji
Mizuno, Masaharu
Koto, Takashi
Ishida, Tomoka
Oshika, Tetsuro
author_facet Nakajima, Kosuke
Inoue, Makoto
Takahashi, Aya
Yoshikawa, Yuji
Mizuno, Masaharu
Koto, Takashi
Ishida, Tomoka
Oshika, Tetsuro
author_sort Nakajima, Kosuke
collection PubMed
description 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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spelling pubmed-100619962023-03-31 Image sharpening algorithms improve clarity of surgical field during 3D heads-up surgery Nakajima, Kosuke Inoue, Makoto Takahashi, Aya Yoshikawa, Yuji Mizuno, Masaharu Koto, Takashi Ishida, Tomoka Oshika, Tetsuro Int J Retina Vitreous Original Article 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. BioMed Central 2023-03-30 /pmc/articles/PMC10061996/ /pubmed/36998005 http://dx.doi.org/10.1186/s40942-023-00462-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Original Article
Nakajima, Kosuke
Inoue, Makoto
Takahashi, Aya
Yoshikawa, Yuji
Mizuno, Masaharu
Koto, Takashi
Ishida, Tomoka
Oshika, Tetsuro
Image sharpening algorithms improve clarity of surgical field during 3D heads-up surgery
title Image sharpening algorithms improve clarity of surgical field during 3D heads-up surgery
title_full Image sharpening algorithms improve clarity of surgical field during 3D heads-up surgery
title_fullStr Image sharpening algorithms improve clarity of surgical field during 3D heads-up surgery
title_full_unstemmed Image sharpening algorithms improve clarity of surgical field during 3D heads-up surgery
title_short Image sharpening algorithms improve clarity of surgical field during 3D heads-up surgery
title_sort image sharpening algorithms improve clarity of surgical field during 3d heads-up surgery
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061996/
https://www.ncbi.nlm.nih.gov/pubmed/36998005
http://dx.doi.org/10.1186/s40942-023-00462-z
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