Evaluation of Inpainting in Speckled and Despeckled 2D Ultrasound Medical Images

D. M. Alex, D. Chandy
{"title":"Evaluation of Inpainting in Speckled and Despeckled 2D Ultrasound Medical Images","authors":"D. M. Alex, D. Chandy","doi":"10.1109/ACCTHPA49271.2020.9213203","DOIUrl":null,"url":null,"abstract":"Image processing has paved its way through various applications in the medical field, where researches are being carried out to prompt and improvise the care and treatment given to patients in all aspects. Medical image processing applications concerns the need for obtaining images as per the requirement. Inpainting of markers on medical images generated using various modalities is crucial to process the images for numerous applications. One of the inherent and profoundly seen problem in medical images, especially in the ultrasound images is the speckle noise. It alters the edges, fine details and other features of organs that is required for interpretation. In this paper, the need for despeckling of 2D ultrasound images is studied by evaluating the performance metrics for inpainting based on fast marching algorithm of speckled and despeckled 2D ultrasound images.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACCTHPA49271.2020.9213203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Image processing has paved its way through various applications in the medical field, where researches are being carried out to prompt and improvise the care and treatment given to patients in all aspects. Medical image processing applications concerns the need for obtaining images as per the requirement. Inpainting of markers on medical images generated using various modalities is crucial to process the images for numerous applications. One of the inherent and profoundly seen problem in medical images, especially in the ultrasound images is the speckle noise. It alters the edges, fine details and other features of organs that is required for interpretation. In this paper, the need for despeckling of 2D ultrasound images is studied by evaluating the performance metrics for inpainting based on fast marching algorithm of speckled and despeckled 2D ultrasound images.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
斑点和去斑点二维超声医学图像补色的评价
图像处理在医学领域的各种应用已经铺平了道路,人们正在研究如何在各个方面为患者提供及时和即兴的护理和治疗。医学图像处理应用涉及按要求获取图像的需要。在使用各种模式生成的医学图像上涂上标记对于处理许多应用程序的图像至关重要。医学图像,尤其是超声图像中存在的一个固有而深刻的问题是散斑噪声。它改变了器官的边缘、细节和其他特征,这些都是解释所需要的。本文通过评估基于斑点和去斑点快速推进算法的二维超声图像上漆的性能指标,研究了二维超声图像去斑点的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Hybrid Feature Selection Approach Using Artificial Bee Colony and Genetic Algorithm An Improved Upper Bound for Genome Rearrangement by Prefix Transpositions SAARTHI : Real-Time Monitoring of Patients by Wearable Device Effects of Preprocessing on the Quantification of Cerebral Blood Flow from Arterial Spin Labeling MRI An Enhanced Round Robin (ERR) algorithm for Effective and Efficient Task Scheduling in cloud environment
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1