Frequency-selected Adaptive Matched Filter Denoising for Photoacoustic Imaging

doi:10.1109/IUS51837.2023.10307215

	Frequency-selected Adaptive Matched Filter Denoising for Photoacoustic Imaging
	Li, Ziye; Ge, Peng; Tong, Shangqing; Jiang, Daohuai; Gao, Feng; Gao, Fei
	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/IUS51837.2023.10307215
摘要	In photoacoustic imaging (PAI), due to the low efficiency of light to sound conversion, external interferences such as environmental noise, and low-energy laser in cost-effective systems, the detected PA signal is normally quite weak and easily overwhelmed by background noise, resulting in considerable artifacts and distortion. The quality of PAI are greatly influenced by the effectiveness of denoising algorithms. Therefore, extracting accurate tissue information from high background noise to improve the signal-to-noise ratio of photoacoustic images is one of the key challenges for enhancing the resolution and image contrast of PAI. © 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 microscopy signal denoising matched filter iterative methods colorectal tissue
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	20234915175300
EI主题词	Signal to noise ratio
EISSN	1948-5727
EI分类号	461.2 Biological Materials and Tissue Engineering ; 703.2 Electric Filters ; 716.1 Information Theory and Signal Processing ; 911.2 Industrial Economics ; 921.6 Numerical Methods
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/348720
专题	信息科学与技术学院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
通讯作者	Li, Ziye
作者单位	ShanghaiTech University, School of Information Science and Technology, Shanghai, 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	Li, Ziye,Ge, Peng,Tong, Shangqing,et al. Frequency-selected Adaptive Matched Filter Denoising for Photoacoustic Imaging[C]//IEEE, IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC):IEEE Computer Society,2023.