ArticleJournal of clinical medicine2022
Improvement in Dacryoendoscopic Visibility after Image Processing Using Comb-Removal and Image-Sharpening Algorithms.
Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Clinical Implication of Dacryoendoscopy in the Patients with Tearing: A Systematic Review.Korean journal of ophthalmology : KJO · 2023Pooled it
- Image sharpening improves the visibility of reference points on low-dose lateral cephalometric radiographs: a phantom study.Dento maxillo facial radiology · 2026Article
- Clinical Impact of Using Real-Time Image-Processing Algorithms (Comb Removal and Image Sharpening) in Dacryoendoscopic Surgery.Journal of clinical medicine · 2026Article
- Investigations on whether image-sharpening algorithm can improve the determination of severity of diabetic retinopathy in ultra-widefield fundus photographs.Scientific reports · 2025Observational
- Image sharpening algorithms improve clarity of surgical field during 3D heads-up surgery.International journal of retina and vitreous · 2023Article
- Effects of image-sharpening algorithm on surgical field visibility during 3D heads-up surgery for vitreoretinal diseases.Scientific reports · 2023Article
- Accuracy of the Lacrimal Syringing Test in Relation to Dacryocystography and Dacryoendoscopy.Clinical ophthalmology (Auckland, N.Z.) · 2023Article
- Effects of Image Processing Using Honeycomb-Removal and Image-Sharpening Algorithms on Visibility of 27-Gauge Endoscopic Vitrectomy.Journal of clinical medicine · 2022Article
- Comparison of the efficacies of 1.0 and 1.5 mm silicone tubes for the treatment of nasolacrimal duct obstruction.Scientific reports · 2022Observational
- Dacryoendoscopy: Historical development, philosophical foundation, and clinical perspective.Taiwan journal of ophthalmologyReview
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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