Time-efficient Thermoacoustic Imaging with High Resolution for A Large Sample: A Simulation Study
Baosheng,Wang; Yifei,Sun; Chenzhe,Li; Xiong,Wang
2019-05
Source Publication2019 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT)
Pages1-2
DOI10.1109/ICMMT45702.2019.8992581
AbstractThermoacoustic imaging (TAI) is a promising hybrid technique for many applications. Compressive sensing (CS) based TAI is able to greatly reduce the required number of measurements to obtain a good image. This work explores the ability of CS based TAI by investigating a large sample with complicated structure details. Simulation results show that only 30 measurements are sufficient to recover most of the fine details in the sample, which is a way better than a conventional imaging method. This work is meaningful for further application of the CS based TAI in more advanced scenarios.
Conference PlaceGuangzhou, China
Conference Date19-22 May 2019
URL查看原文
Original Document TypeConferences
Document Type会议论文
Identifierhttp://kms.shanghaitech.edu.cn/handle/2MSLDSTB/50021
Collection信息科学与技术学院_博士生
信息科学与技术学院_PI研究组_王雄组
信息科学与技术学院_本科生
Corresponding AuthorXiong,Wang
AffiliationShanghaiTech University, School of Information Science and Technology
First Author AffilicationSchool of Information Science and Technology
Corresponding Author AffilicationSchool of Information Science and Technology
First Signature AffilicationSchool of Information Science and Technology
Recommended Citation
GB/T 7714
Baosheng,Wang,Yifei,Sun,Chenzhe,Li,et al. Time-efficient Thermoacoustic Imaging with High Resolution for A Large Sample: A Simulation Study[C],2019:1-2.
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Scholar Google
Similar articles in Scholar Google
[Baosheng,Wang]'s Articles
[Yifei,Sun]'s Articles
[Chenzhe,Li]'s Articles
Baidu academic
Similar articles in Baidu academic
[Baosheng,Wang]'s Articles
[Yifei,Sun]'s Articles
[Chenzhe,Li]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Baosheng,Wang]'s Articles
[Yifei,Sun]'s Articles
[Chenzhe,Li]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.