De-noising of photoacoustic sensing and imaging based on combined empirical mode decomposition and independent component analysis

doi:10.1002/jbio.201900042

	De-noising of photoacoustic sensing and imaging based on combined empirical mode decomposition and independent component analysis
	Zhou, Meng1,2 ; Zhao, Huangxuan 3,4; Xia, Haibo 2; Zhang, Jiayao 1; Liu, Zhicheng 4; Liu, Chengbo 3; Gao, Fei1
	2019-08
发表期刊	JOURNAL OF BIOPHOTONICS (IF:2.0[JCR-2023],2.6[5-Year])
ISSN	1864-063X
卷号	12 期号:8
发表状态	已发表
DOI	10.1002/jbio.201900042
摘要	Photoacoustic (PA) imaging breaks the diffusion limit of conventional optical imaging by listening to the PA wave. As a new kind of functional imaging method, it has experienced tremendous growth in research community with wide range of applications. However, it is still an open and fundamental challenge that the conversion efficiency from light to sound based on PA effect is extremely low. The consequence is the poor signal-to-noise ratio (SNR) of PA signal especially in scenarios of low laser power and deep penetration. Conventional approach to enhance the SNR of PA signal in these noisy scenarios is data averaging, which is quite time-consuming. To improve the signal fidelity and imaging speed, an algorithm of using empirical mode decomposition and independent component analysis de-noising methods in PA imaging is proposed. The simulation and in vivo experimental results show obvious SNR enhancement of the PA signal and image contrast. The proposed method provides the potential to develop real-time low-cost PA imaging system with low-power laser source.
关键词	empirical mode decomposition independent component analysis photoacoustic imaging signal-to-noise ratio
收录类别	SCI ; SCIE ; EI
语种	英语
WOS研究方向	Biochemistry & Molecular Biology ; Biophysics ; Optics
WOS类目	Biochemical Research Methods ; Biophysics ; Optics
WOS记录号	WOS:000480614900003
出版者	WILEY-V C H VERLAG GMBH
WOS关键词	OPTOACOUSTIC TOMOGRAPHY ; MICROSCOPY ; REMOVAL ; IMAGES
原始文献类型	Article
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/64587
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_高飞组生物医学工程学院
通讯作者	Liu, Chengbo; Gao, Fei
作者单位	1.ShanghaiTech Univ, Sch Informat Sci & Technol, Hybrid Imaging Syst Lab, Shanghai 201210, Peoples R China 2.Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai, Peoples R China 3.Chinese Acad Sci, Shenzhen Inst Adv Technol, Res Lab Biomed Opt & Mol Imaging, Shenzhen 518055, Peoples R China 4.Capital Med Univ, Sch Biomed Engn, Beijing, 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	Zhou, Meng,Zhao, Huangxuan,Xia, Haibo,et al. De-noising of photoacoustic sensing and imaging based on combined empirical mode decomposition and independent component analysis[J]. JOURNAL OF BIOPHOTONICS,2019,12(8).
APA	Zhou, Meng.,Zhao, Huangxuan.,Xia, Haibo.,Zhang, Jiayao.,Liu, Zhicheng.,...&Gao, Fei.(2019).De-noising of photoacoustic sensing and imaging based on combined empirical mode decomposition and independent component analysis.JOURNAL OF BIOPHOTONICS,12(8).
MLA	Zhou, Meng,et al."De-noising of photoacoustic sensing and imaging based on combined empirical mode decomposition and independent component analysis".JOURNAL OF BIOPHOTONICS 12.8(2019).