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

doi:10.1109/TBME.2019.2935301

CORC > 自动化研究所 > 中国科学院自动化研究所 > 中国科学院分子影像重点实验室

	Accelerated Stimulated Raman Projection Tomography by Sparse Reconstruction From Sparse-View Data
	Chen, Xueli 2,3; Zhu, Shouping 2,3; Wang, Huiyuan 2,3; Bao, Cuiping 2,3; Yang, Defu 1,2,3; Zhang, Chi 4,5; Lin, Peng 4,5; Cheng, Ji-Xin 4,5; Zhan, Yonghua ; Liang, Jimin 2,3
刊名	IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
	2020-05-01
卷号	67 期号:5 页码:1293-1302
关键词	Image reconstruction Three-dimensional displays Raman scattering Tomography Chemicals Laser beams Sparse reconstruction iterative reconstruction stimulated Raman projection tomography
ISSN号	0018-9294
DOI	10.1109/TBME.2019.2935301
通讯作者	Chen, Xueli(xlchen@xidian.edu.cn)
英文摘要	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.
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]
WOS关键词	SHEET FLUORESCENCE MICROSCOPY ; IN-VIVO ; IMAGE-RECONSTRUCTION ; ITERATIVE RECONSTRUCTION ; LIGHT ; RESOLUTION ; SPECIMENS ; 3D ; CONVERGENCE ; ALGORITHMS
WOS研究方向	Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000530299200007
资助机构	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)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/39377]
专题	自动化研究所_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.Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou, Peoples R China 2.Xidian Univ, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian 710126, Peoples R China 3.Xidian Univ, Sch Life Sci & Technol, Xian 710126, 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.