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

Improvement in Dacryoendoscopic Visibility after Image Processing Using Comb-Removal and Image-Sharpening Algorithms.
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DOI:
10.3390/jcm11082073
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发表时间:
2022-04-07
影响因子:
3.9
通讯作者:
--
中科院分区:
医学2区
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--
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最近,一种微创治疗泪道疾病的发展,使用泪道内窥镜。良好的泪道可视性对检查和治疗很重要。本研究旨在研究图像处理是否可以提高泪道内窥镜的可见性,使用梳状去除和图像锐化算法。我们处理了20 dacryoendoscopic图像(原始图像)使用梳状删除和图像锐化算法。总体而言,将40张图像(20张原始图像和20张后处理图像)随机呈现给评价者,评价者对每张图像进行10分制评分。对原始图像和后处理图像的评分进行统计学比较。此外,使用测试图进行体外实验,以检查图像处理是否可以提高混浊液体中的泪道内窥镜可见性。图像的视觉评分(估计值±标准误差)从3.52 ± 0.26(原始图像)显著改善至5.77 ± 0.28(后处理图像; p < 0.001,线性混合效应模型)。体外实验表明,图像处理后,混浊液体中的图像的对比度和分辨率提高。使用我们的梳状去除和图像锐化算法的图像处理提高了泪道内窥镜的可见性。本研究中使用的技术适用于实时处理,并且可以很容易地引入临床实践。
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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