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Limited-view photoacoustic imaging reconstruction with dual domain inputs based on mutual inforamtion | |
2021-04-13 | |
会议录名称 | PROCEEDINGS - INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING |
ISSN | 1945-7928 |
卷号 | 2021-April |
页码 | 1522-1526 |
发表状态 | 已发表 |
DOI | 10.1109/ISBI48211.2021.9433949 |
摘要 | Based on photoacoustic effect, photoacoustic tomography is developing very fast in recent years, and becoming an important imaging tool for both preclinical and clinical studies. With enough ultrasound transducers placed around the biological tissue, PAT can provide both deep penetration and high image contrast by hybrid usage of light and sound. However, considering space and measurement environmental limitations, transducers are always placed in a limited-angle way, which means that the other side without transducer coverage suffers severe information loss. With conventional image reconstruction algorithms, the limited-view tissue induces artifacts and information loss, which may cause doctors' misdiagnosis or missed diagnosis. In order to solve limited-view PA imaging reconstruction problem, we propose to use both time domain and frequency domain reconstruction algorithms to get delay-and-sum (DAS) image inputs and k-space image inputs. These dual domain images share nearly same texture information but different artifact information, which can teach network how to distinguish these two kinds of information at input level. In this paper, we propose Dual Domain Unet (DuDounet) with specially designed Information Sharing Block (ISB), which can further share two domains' information and distinguish artifacts. Besides, we use mutual information (MI) with an auxiliary network, whose inputs and outputs are both ground truth, to compensate prior knowledge of limited-view PA inputs. The proposed method is verified with a public clinical database, and shows superior results with SSIM =93.5622% and PSNR =20.8859. © 2021 IEEE. |
关键词 | Frequency domain analysis Medical imaging Photoacoustic effect Textures Tissue Transducers Ultrasonic transducers Environmental limitations Image reconstruction algorithm Information sharing Mutual informations Photo acoustic imaging Photoacoustic tomography Reconstruction algorithms Ultrasound transducers |
会议名称 | 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021 |
会议地点 | Nice, France |
会议日期 | April 13, 2021 - April 16, 2021 |
URL | 查看原文 |
收录类别 | EI ; CPCI ; CPCI-S |
语种 | 英语 |
资助项目 | Start-up grant of ShanghaiTech University[F-0203-17-004] ; Natural Science Foundation of Shanghai[18ZR1425000] ; National Natural Science Foundation of China[61805139] |
WOS研究方向 | Engineering ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Engineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000786144100320 |
出版者 | IEEE Computer Society |
EI入藏号 | 20212310465688 |
EI主题词 | Image reconstruction |
EISSN | 1945-8452 |
EI分类号 | 461.2 Biological Materials and Tissue Engineering ; 741.1 Light/Optics ; 746 Imaging Techniques ; 753.2 Ultrasonic Devices ; 921.3 Mathematical Transformations |
原始文献类型 | Conference article (CA) |
来源库 | IEEE |
引用统计 | 正在获取...
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文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/133503 |
专题 | 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_高飞组 信息科学与技术学院_博士生 |
通讯作者 | Gao, Feng; Gao, Fei |
作者单位 | ShanghaiTech University, Hybrid Imaging System Laboratory, School of Information Science and Technology, Shanghai; 201210, China |
第一作者单位 | 信息科学与技术学院 |
通讯作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Zhang, Jiadong,Lan, Hengrong,Yang, Changchun,et al. Limited-view photoacoustic imaging reconstruction with dual domain inputs based on mutual inforamtion[C]:IEEE Computer Society,2021:1522-1526. |
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