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Improvement in Dacryoendoscopic Visibility after Image Processing Using Comb-Removal and Image-Sharpening Algorithms

Recently, a minimally invasive treatment for lacrimal passage diseases was developed using dacryoendoscopy. Good visibility of the lacrimal passage is important for examination and treatment. This study aimed to investigate whether image processing can improve the dacryoendoscopic visibility using c...

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Autores principales: Hoshi, Sujin, Tasaki, Kuniharu, Maruo, Kazushi, Ueno, Yuta, Mori, Haruhiro, Morikawa, Shohei, Moriya, Yuki, Takahashi, Shoko, Hiraoka, Takahiro, Oshika, Tetsuro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032983/
https://www.ncbi.nlm.nih.gov/pubmed/35456168
http://dx.doi.org/10.3390/jcm11082073
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author Hoshi, Sujin
Tasaki, Kuniharu
Maruo, Kazushi
Ueno, Yuta
Mori, Haruhiro
Morikawa, Shohei
Moriya, Yuki
Takahashi, Shoko
Hiraoka, Takahiro
Oshika, Tetsuro
author_facet Hoshi, Sujin
Tasaki, Kuniharu
Maruo, Kazushi
Ueno, Yuta
Mori, Haruhiro
Morikawa, Shohei
Moriya, Yuki
Takahashi, Shoko
Hiraoka, Takahiro
Oshika, Tetsuro
author_sort Hoshi, Sujin
collection PubMed
description Recently, a minimally invasive treatment for lacrimal passage diseases was developed using dacryoendoscopy. Good visibility of the lacrimal passage is important for examination and treatment. This study aimed to investigate whether image processing can improve the dacryoendoscopic visibility using comb-removal and image-sharpening algorithms. We processed 20 dacryoendoscopic images (original images) using comb-removal and image-sharpening algorithms. Overall, 40 images (20 original and 20 post-processing) were randomly presented to the evaluators, who scored each image on a 10-point scale. The scores of the original and post-processing images were compared statistically. Additionally, in vitro experiments were performed using a test chart to examine whether image processing could improve the dacryoendoscopic visibility in a turbid fluid. The visual score (estimate ± standard error) of the images significantly improved from 3.52 ± 0.26 (original images) to 5.77 ± 0.28 (post-processing images; p < 0.001, linear mixed-effects model). The in vitro experiments revealed that the contrast and resolution of images in the turbid fluid improved after image processing. Image processing with our comb-removal and image-sharpening algorithms improved dacryoendoscopic visibility. The techniques used in this study are applicable for real-time processing and can be easily introduced in clinical practice.
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spelling pubmed-90329832022-04-23 Improvement in Dacryoendoscopic Visibility after Image Processing Using Comb-Removal and Image-Sharpening Algorithms Hoshi, Sujin Tasaki, Kuniharu Maruo, Kazushi Ueno, Yuta Mori, Haruhiro Morikawa, Shohei Moriya, Yuki Takahashi, Shoko Hiraoka, Takahiro Oshika, Tetsuro J Clin Med Article Recently, a minimally invasive treatment for lacrimal passage diseases was developed using dacryoendoscopy. Good visibility of the lacrimal passage is important for examination and treatment. This study aimed to investigate whether image processing can improve the dacryoendoscopic visibility using comb-removal and image-sharpening algorithms. We processed 20 dacryoendoscopic images (original images) using comb-removal and image-sharpening algorithms. Overall, 40 images (20 original and 20 post-processing) were randomly presented to the evaluators, who scored each image on a 10-point scale. The scores of the original and post-processing images were compared statistically. Additionally, in vitro experiments were performed using a test chart to examine whether image processing could improve the dacryoendoscopic visibility in a turbid fluid. The visual score (estimate ± standard error) of the images significantly improved from 3.52 ± 0.26 (original images) to 5.77 ± 0.28 (post-processing images; p < 0.001, linear mixed-effects model). The in vitro experiments revealed that the contrast and resolution of images in the turbid fluid improved after image processing. Image processing with our comb-removal and image-sharpening algorithms improved dacryoendoscopic visibility. The techniques used in this study are applicable for real-time processing and can be easily introduced in clinical practice. MDPI 2022-04-07 /pmc/articles/PMC9032983/ /pubmed/35456168 http://dx.doi.org/10.3390/jcm11082073 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hoshi, Sujin
Tasaki, Kuniharu
Maruo, Kazushi
Ueno, Yuta
Mori, Haruhiro
Morikawa, Shohei
Moriya, Yuki
Takahashi, Shoko
Hiraoka, Takahiro
Oshika, Tetsuro
Improvement in Dacryoendoscopic Visibility after Image Processing Using Comb-Removal and Image-Sharpening Algorithms
title Improvement in Dacryoendoscopic Visibility after Image Processing Using Comb-Removal and Image-Sharpening Algorithms
title_full Improvement in Dacryoendoscopic Visibility after Image Processing Using Comb-Removal and Image-Sharpening Algorithms
title_fullStr Improvement in Dacryoendoscopic Visibility after Image Processing Using Comb-Removal and Image-Sharpening Algorithms
title_full_unstemmed Improvement in Dacryoendoscopic Visibility after Image Processing Using Comb-Removal and Image-Sharpening Algorithms
title_short Improvement in Dacryoendoscopic Visibility after Image Processing Using Comb-Removal and Image-Sharpening Algorithms
title_sort improvement in dacryoendoscopic visibility after image processing using comb-removal and image-sharpening algorithms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032983/
https://www.ncbi.nlm.nih.gov/pubmed/35456168
http://dx.doi.org/10.3390/jcm11082073
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