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
ISSN1945-7928
卷号2021-April
页码1522-1526
发表状态已发表
DOI10.1109/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
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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
EISSN1945-8452
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
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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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