Accelerated Stimulated Raman Projection Tomography by Sparse Reconstruction From Sparse-View Data

doi:10.1109/TBME.2019.2935301

	Accelerated Stimulated Raman Projection Tomography by Sparse Reconstruction From Sparse-View Data
	Chen, Xueli 1,2; Zhu, Shouping 1,2; Wang, Huiyuan 1,2; Bao, Cuiping 1,2; Yang, Defu 1,2,3; Zhang, Chi 4,5; Lin, Peng 4,5; Cheng, Ji-Xin 4,5; Zhan, Yonghua ; Liang, Jimin 1,2; Tian, Jie 1,2,6
发表期刊	IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
ISSN	0018-9294
	2020-05-01
卷号	67 期号:5 页码:1293-1302
通讯作者	Chen, Xueli(xlchen@xidian.edu.cn)
摘要	Objective: Stimulated Raman projection tomography (SRPT), a recently developed label-free volumetric chemical imaging technology, has been reported to quantitatively reconstruct the distribution of chemicals in a three-dimensional (3D) complex system. The current image reconstruction scheme used in SRPT is based on a filtered back projection (FBP) algorithm that requires at least 180 angular-dependent projections to rebuild a reasonable SRPT image, resulting in a long total acquisition time. This is a big limitation for longitudinal studies on live systems. Methods: We present a sparse-view data-based sparse reconstruction scheme, in which sparsely sampled projections at 180 degrees were used to reconstruct the volumetric information. In the scheme, the simultaneous algebra reconstruction technique (SART), combined with total variation regularization, was used for iterative reconstruction. To better describe the projection process, a pixel vertex driven model (PVDM) was developed to act as projectors, whose performance was compared with those of the distance driven model (DDM). Results: We evaluated our scheme with numerical simulations and validated it for SRPT by mapping lipid contents in adipose cells. Simulation results showed that the PVDM performed better than the DDM in the case of using sparse-view data. Our scheme could maintain the quality of the reconstructed images even when the projection number was reduced to 15. The cell-based experimental results demonstrated that the proposed scheme can improve the imaging speed of the current FBP-based SRPT scheme by a factor of 9-12 without sacrificing discernible imaging details. Conclusion: Our proposed scheme significantly reduces the total acquisition time required for SRPT at a speed of one order of magnitude faster than the currently used scheme. This significant improvement in imaging speed would potentially promote the applicability of SRPT for imaging living organisms.
关键词	Image reconstruction Three-dimensional displays Raman scattering Tomography Chemicals Laser beams Sparse reconstruction iterative reconstruction stimulated Raman projection tomography
DOI	10.1109/TBME.2019.2935301
关键词[WOS]	SHEET FLUORESCENCE MICROSCOPY ; IN-VIVO ; IMAGE-RECONSTRUCTION ; ITERATIVE RECONSTRUCTION ; LIGHT ; RESOLUTION ; SPECIMENS ; 3D ; CONVERGENCE ; ALGORITHMS
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2018YFC0910602] ; National Natural Science Foundation of China[81627807] ; National Natural Science Foundation of China[11727813] ; National Natural Science Foundation of China[81871397] ; National Natural Science Foundation of China[81571725] ; Fok Ying-Tong Education Foundation of China[161104] ; Youth Talent Support Program in Shaanxi Province ; Research Fund for Young Star of Science and Technology in Shaanxi Province[2018KJXX-018] ; Best Funded Projects of the Scientific and Technological Activities for Excellent Overseas Researchers in Shaanxi Province[2017017] ; Fundamental Research Funds for the Central Universities[JB181203] ; Keck Foundation[R01 GM118471] ; National Institutes of Health (NIH)[R01 GM118471]
项目资助者	National Key R&D Program of China ; National Natural Science Foundation of China ; Fok Ying-Tong Education Foundation of China ; Youth Talent Support Program in Shaanxi Province ; Research Fund for Young Star of Science and Technology in Shaanxi Province ; Best Funded Projects of the Scientific and Technological Activities for Excellent Overseas Researchers in Shaanxi Province ; Fundamental Research Funds for the Central Universities ; Keck Foundation ; National Institutes of Health (NIH)
WOS研究方向	Engineering
WOS类目	Engineering, Biomedical
WOS记录号	WOS:000530299200007
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/39378
专题	中国科学院分子影像重点实验室
通讯作者	Chen, Xueli
作者单位	1.Xidian Univ, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian 710126, Peoples R China 2.Xidian Univ, Sch Life Sci & Technol, Xian 710126, Peoples R China 3.Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou, Peoples R China 4.Purdue Univ, Weldon Sch Biomed Engn, W Lafayette, IN 47907 USA 5.Boston Univ, Dept Elect & Comp Engn Biomed Engn, Boston, MA 02215 USA 6.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Chen, Xueli,Zhu, Shouping,Wang, Huiyuan,et al. Accelerated Stimulated Raman Projection Tomography by Sparse Reconstruction From Sparse-View Data[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2020,67(5):1293-1302.
APA	Chen, Xueli.,Zhu, Shouping.,Wang, Huiyuan.,Bao, Cuiping.,Yang, Defu.,...&Tian, Jie.(2020).Accelerated Stimulated Raman Projection Tomography by Sparse Reconstruction From Sparse-View Data.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,67(5),1293-1302.
MLA	Chen, Xueli,et al."Accelerated Stimulated Raman Projection Tomography by Sparse Reconstruction From Sparse-View Data".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 67.5(2020):1293-1302.