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ShanghaiTech University Knowledge Management System
Accelerating Model-based Photoacoustic Image Reconstruction in vivo Based on s-Wave | |
2022 | |
会议录名称 | 2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS)
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ISSN | 1948-5719 |
发表状态 | 已发表 |
DOI | 10.1109/IUS54386.2022.9958557 |
摘要 | Photoacoustic imaging technology develops very fast in recent years. As the most popular MATLAB toolbox for photoacoustic simulation, k-Wave is widely used in various photoacoustic applications by solving wave propagation equations, but suffering from long computation time. To accelerate photoacoustic simulation, we propose a straightforward simulation approach based on superposed Wave (s-Wave), which can be further applied to model-based reconstruction task. We evaluate s-Wave on several imaging conditions, and the result shows less time consumption compared with k-wave. Especially in a sparse configuration in 3D, it is more than 2000 times faster than kWave. For the model-based image reconstruction, in-vivo imaging result shows that using s-Wave method could suppress the noise and reserve the vessels better, while the reconstruction speed is about 50 times faster than k-wave. |
关键词 | superposed Wave (s-Wave) photoacoustic imaging simulation model-based reconstruction |
会议名称 | IEEE International Ultrasonics Symposium (IUS) |
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
会议地点 | null,Venice,ITALY |
会议日期 | OCT 10-13, 2022 |
URL | 查看原文 |
收录类别 | CPCI-S |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61805139] ; United Imaging Intelligence[2019X0203-501-02] ; Shanghai Clinical Research and Trial Center[2022A0305-418-02] |
WOS研究方向 | Acoustics ; Engineering ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Acoustics ; Engineering, Biomedical ; Engineering, Electrical & Electronic ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000896080400444 |
出版者 | IEEE |
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/274947 |
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 | Shen, Yuting |
作者单位 | ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R 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 | Shen, Yuting,Zhang, Jiadong,Jiang, Daohuai,et al. Accelerating Model-based Photoacoustic Image Reconstruction in vivo Based on s-Wave[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022. |
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