Compressed Sensing Photoacoustic Imaging Reconstruction Using Elastic Net Approach.

IF 2.2 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Molecular Imaging Pub Date : 2022-01-01 DOI:10.1155/2022/7877049
Xueyan Liu, Shuo Dai, Mengyu Wang, Yining Zhang
{"title":"Compressed Sensing Photoacoustic Imaging Reconstruction Using Elastic Net Approach.","authors":"Xueyan Liu,&nbsp;Shuo Dai,&nbsp;Mengyu Wang,&nbsp;Yining Zhang","doi":"10.1155/2022/7877049","DOIUrl":null,"url":null,"abstract":"<p><p>Photoacoustic imaging involves reconstructing an estimation of the absorbed energy density distribution from measured ultrasound data. The reconstruction task based on incomplete and noisy experimental data is usually an ill-posed problem that requires regularization to obtain meaningful solutions. The purpose of the work is to propose an elastic network (EN) model to improve the quality of reconstructed photoacoustic images. To evaluate the performance of the proposed method, a series of numerical simulations and tissue-mimicking phantom experiments are performed. The experiment results indicate that, compared with the <i>L</i> <sub>1</sub>-norm and <i>L</i> <sub>2</sub>-normbased regularization methods with different numerical phantoms, Gaussian noise of 10-50 dB, and different regularization parameters, the EN method with <i>α</i> = 0.5 has better image quality, calculation speed, and antinoise ability.</p>","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":"2022 ","pages":"7877049"},"PeriodicalIF":2.2000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881674/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1155/2022/7877049","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Photoacoustic imaging involves reconstructing an estimation of the absorbed energy density distribution from measured ultrasound data. The reconstruction task based on incomplete and noisy experimental data is usually an ill-posed problem that requires regularization to obtain meaningful solutions. The purpose of the work is to propose an elastic network (EN) model to improve the quality of reconstructed photoacoustic images. To evaluate the performance of the proposed method, a series of numerical simulations and tissue-mimicking phantom experiments are performed. The experiment results indicate that, compared with the L 1-norm and L 2-normbased regularization methods with different numerical phantoms, Gaussian noise of 10-50 dB, and different regularization parameters, the EN method with α = 0.5 has better image quality, calculation speed, and antinoise ability.

Abstract Image

Abstract Image

Abstract Image

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
基于弹性网方法的压缩传感光声成像重建。
光声成像包括从测量的超声数据重建吸收能量密度分布的估计。基于不完整和噪声实验数据的重构任务通常是一个病态问题,需要正则化才能得到有意义的解。本文的目的是提出一种弹性网络(EN)模型来提高重建光声图像的质量。为了评估该方法的性能,进行了一系列的数值模拟和组织模拟实验。实验结果表明,与不同数值幻象、10 ~ 50 dB高斯噪声和不同正则化参数下基于l1范数和l2范数的正则化方法相比,α = 0.5的EN方法具有更好的图像质量、计算速度和抗噪能力。
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
Molecular Imaging
Molecular Imaging Biochemistry, Genetics and Molecular Biology-Biotechnology
自引率
3.60%
发文量
21
期刊介绍: Molecular Imaging is a peer-reviewed, open access journal highlighting the breadth of molecular imaging research from basic science to preclinical studies to human applications. This serves both the scientific and clinical communities by disseminating novel results and concepts relevant to the biological study of normal and disease processes in both basic and translational studies ranging from mice to humans.
期刊最新文献
In Situ Mapping of the Glucose Metabolism Heterogeneity in Atherosclerosis: Correlation With 2-Deoxyglucose Uptake. Comparison of Tumor Non-specific and PD-L1 Specific Imaging by Near-Infrared Fluorescence/Cerenkov Luminescence Dual-Modality In-situ Imaging. Study on the Relationship Between MRI Functional Imaging and Multiple Immunohistochemical Features of Glioma: A Noninvasive and More Precise Glioma Management. PET/CT in the Evaluation of CAR-T Cell Immunotherapy in Hematological Malignancies. Combining Nuclear Medicine With Other Modalities: Future Prospect for Multimodality Imaging.
×
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