噪声鲁棒超声图像二维盲反卷积

T. Taxt, J. Strand
{"title":"噪声鲁棒超声图像二维盲反卷积","authors":"T. Taxt, J. Strand","doi":"10.1109/ULTSYM.1997.661853","DOIUrl":null,"url":null,"abstract":"This paper presents a new method for two-dimensional blind homomorphic deconvolution of medical B-scan ultrasound images. The method is based on noise robust two-dimensional phase unwrapping and a noise robust procedure to obtain the pulse in the complex cepstrum domain. Ordinary Wiener filtering is used in the subsequent deconvolution. The resulting images became much sharper, with better defined tissue structures compared to the ordinary images. The deconvolved images had a resolution gain in the order of 3 to 6, and the signal to noise ratio doubled for many of these images. The method gave stable results through several image sequences. It can be implemented in real time.","PeriodicalId":6369,"journal":{"name":"1997 IEEE Ultrasonics Symposium Proceedings. An International Symposium (Cat. No.97CH36118)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1997-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Noise robust two-dimensional blind deconvolution of ultrasound images\",\"authors\":\"T. Taxt, J. Strand\",\"doi\":\"10.1109/ULTSYM.1997.661853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new method for two-dimensional blind homomorphic deconvolution of medical B-scan ultrasound images. The method is based on noise robust two-dimensional phase unwrapping and a noise robust procedure to obtain the pulse in the complex cepstrum domain. Ordinary Wiener filtering is used in the subsequent deconvolution. The resulting images became much sharper, with better defined tissue structures compared to the ordinary images. The deconvolved images had a resolution gain in the order of 3 to 6, and the signal to noise ratio doubled for many of these images. The method gave stable results through several image sequences. It can be implemented in real time.\",\"PeriodicalId\":6369,\"journal\":{\"name\":\"1997 IEEE Ultrasonics Symposium Proceedings. An International Symposium (Cat. No.97CH36118)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1997 IEEE Ultrasonics Symposium Proceedings. An International Symposium (Cat. No.97CH36118)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ULTSYM.1997.661853\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1997 IEEE Ultrasonics Symposium Proceedings. An International Symposium (Cat. No.97CH36118)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ULTSYM.1997.661853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

提出了一种医学b超图像二维盲同态反卷积的新方法。该方法基于噪声鲁棒二维相位展开和噪声鲁棒处理来获得复倒谱域的脉冲。在随后的反褶积中使用普通维纳滤波。与普通图像相比,生成的图像变得更加清晰,组织结构更加清晰。反卷积图像的分辨率增益在3到6的数量级,并且这些图像的信噪比翻了一番。该方法在多个图像序列上都能得到稳定的结果。它可以实时实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noise robust two-dimensional blind deconvolution of ultrasound images
This paper presents a new method for two-dimensional blind homomorphic deconvolution of medical B-scan ultrasound images. The method is based on noise robust two-dimensional phase unwrapping and a noise robust procedure to obtain the pulse in the complex cepstrum domain. Ordinary Wiener filtering is used in the subsequent deconvolution. The resulting images became much sharper, with better defined tissue structures compared to the ordinary images. The deconvolved images had a resolution gain in the order of 3 to 6, and the signal to noise ratio doubled for many of these images. The method gave stable results through several image sequences. It can be implemented in real time.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信