Hardware Acceleration of s-Wave based PA Image Reconstruction

doi:10.1109/IUS51837.2023.10306958

	Hardware Acceleration of s-Wave based PA Image Reconstruction
	Yuwei Zheng; Zijian Gao; Yuting Shen; Jiadong Zhang; Daohuai Jiang; Fengyu Liu; Feng Gao; Fei Gao
	2023-09-08
会议录名称	2023 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS)
ISSN	1948-5719
发表状态	已发表
DOI	10.1109/IUS51837.2023.10306958
摘要	Photoacoustic imaging, as a new medical imaging technology, has developed rapidly in recent years. In many preclinical and clinical applications, rapid and high-quality reconstruction of photoacoustic images is a crucial requirement. While some simple and easy-to-implement algorithms can achieve image reconstruction with less time consumption, severe artifacts caused by limited views or subsampling often lead to poor image quality. In this paper, we propose a model-based hardware acceleration architecture based on superposed Waves (s-Wave) to enhance the performance of the image reconstruction. We conducted experiments on FPGA platform using phantoms and in vivo data to demonstrate the feasibility and potential applications of the design. The results show that the FPGA-based hardware acceleration design not only has lower power consumption than CPU or GPU, but also maintains a fast imaging speed while providing high-quality reconstructed image. © 2023 IEEE.
会议录编者/会议主办者	IEEE ; IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC)
关键词	Photoacoustic imaging image reconstruction FPGA superposed Waves (s-Wave) model-based hardware acceleration
会议名称	2023 IEEE International Ultrasonics Symposium, IUS 2023
会议地点	Montreal, QC, Canada
会议日期	3-8 Sept. 2023
URL	查看原文
收录类别	EI
语种	英语
出版者	IEEE Computer Society
EI入藏号	20234915175081
EI主题词	Image reconstruction
EISSN	1948-5727
EI分类号	461.1 Biomedical Engineering ; 714.2 Semiconductor Devices and Integrated Circuits ; 721.2 Logic Elements ; 741.1 Light/Optics ; 746 Imaging Techniques ; 751.1 Acoustic Waves
原始文献类型	Conference article (CA)
来源库	IEEE
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/345992
专题	信息科学与技术学院信息科学与技术学院_公共科研平台_机电能源与电子器件科研平台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_硕士生信息科学与技术学院_博士生
作者单位	School of Information Science and Technology, ShanghaiTech University, Shanghai, China
第一作者单位	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	Yuwei Zheng,Zijian Gao,Yuting Shen,et al. Hardware Acceleration of s-Wave based PA Image Reconstruction[C]//IEEE, IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC):IEEE Computer Society,2023.