Linear scheme for the direct reconstruction of noncontact time-domain fluorescence molecular lifetime tomography

被引:2
|
作者
Zhang, Peng [1 ,2 ]
Liu, Jie [1 ]
Hui, Hui [2 ,3 ,4 ]
An, Yu [5 ]
Wang, Kun [2 ,3 ,4 ]
Yang, Xin [2 ,3 ,4 ]
Tian, Jie [2 ,3 ,4 ]
机构
[1] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Dept Biomed Engn, Beijing 100044, Peoples R China
[2] Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
[3] Inst Automat, Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100190, Peoples R China
[5] Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
SYSTEM;
D O I
10.1364/AO.398967
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Direct reconstruction of the noncontact time-domain fluorescence molecular lifetime tomography (TD-FMLT) with current nonlinear algorithms has suffered from complexity and heavy computation loads of the physical model for a large imaging area in TD-FMLT. In this work, we discretize the system matrix along time points and apply a linearized reconstruction algorithm using the fused least absolute shrinkage and selection operator method. The reconstructed yield map and object geometry are used as a priori information to mitigate the ill conditions. This approach is implemented on a fully noncontact TD-FMLT system equipped with a femtosecond pulse laser and a high-speed, time-gated camera. We validate the methodology using both numerical simulations and inhomogeneous phantom experiments. The results exhibit good localization accuracy for fluorescent targets and an efficient computation capability for the reconstruction of fluorescence lifetime in noncontact TD-FMLT. We envision that the proposed linear scheme for the direct reconstruction method in noncontact TD-FMLT has a significant potential for in vivo preclinical studies. (C) 2020 Optical Society of America
引用
收藏
页码:7961 / 7967
页数:7
相关论文
共 50 条
  • [31] A Time Domain Noncontact Fluorescence Tomography System for Breast Cancer Diagnosis
    Guo Hui
    Meng Wei
    Wang Tingting
    Li Jiao
    Zhao Huijuan
    Gao Feng
    [J]. MULTIMODAL BIOMEDICAL IMAGING VII, 2012, 8216
  • [32] Toward the clinical application of time-domain fluorescence lifetime imaging
    Munro, I
    McGinty, J
    Galletly, N
    Requejo-Isidro, J
    Lanigan, PMP
    Elson, DS
    Dunsby, C
    Neil, MAA
    Lever, MJ
    Stamp, GWH
    French, PMW
    [J]. JOURNAL OF BIOMEDICAL OPTICS, 2005, 10 (05)
  • [33] Nonlinear greedy sparsity-constrained algorithm for direct reconstruction of fluorescence molecular lifetime tomography
    Cai, Chuangjian
    Zhang, Lin
    Cai, Wenjuan
    Zhang, Dong
    Lv, Yanlu
    Luo, Jianwen
    [J]. BIOMEDICAL OPTICS EXPRESS, 2016, 7 (04): : 1210 - 1226
  • [34] Reconstruction of Vectorial Acoustic Sources in Time-Domain Tomography
    Xia, Rongmin
    Li, Xu
    He, Bin
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2009, 28 (05) : 669 - 675
  • [35] Time-domain reconstruction for thermoacoustic tomography in a spherical geometry
    Xu, MH
    Wang, LHV
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2002, 21 (07) : 814 - 822
  • [36] Reconstruction of absorption and fluorescence contrast for scanning time-domain fluorescence mammography
    Ziegler, Ronny
    Nielsen, Tim
    Koehler, Thomas
    Grosenick, Dirk
    Steinkellner, Oliver
    Hagen, Axel
    Macdonald, Rainer
    Rinneberg, Herbert
    [J]. OPTICAL TOMOGRAPHY AND SPECTROSCOPY OF TISSUE VII, 2007, 6434
  • [37] Three-dimensional scheme for time-domain fluorescence molecular tomography based on Laplace transforms with noise-robust factors
    Zhang, Limin
    Gao, Feng
    He, Huiyuan
    Zhao, Huijuan
    [J]. OPTICS EXPRESS, 2008, 16 (10): : 7214 - 7223
  • [38] Image reconstruction in fluorescence molecular tomography based on full time-resolved scheme
    Zhang, Limin
    He, Huiyuan
    Gao, Feng
    Zhao, Huijuan
    [J]. Guangxue Xuebao/Acta Optica Sinica, 2008, 28 (07): : 1262 - 1268
  • [39] High resolution time-domain fluorescence lifetime imaging for biomedical applications
    Dowling, K
    Dayel, MJ
    Hyde, SCW
    French, PMW
    Lever, MJ
    Hares, JD
    Dymoke-Bradshaw, AKL
    [J]. JOURNAL OF MODERN OPTICS, 1999, 46 (02) : 199 - 209
  • [40] Applications of machine learning in time-domain fluorescence lifetime imaging: a review
    Gouzou, Dorian
    Taimori, Ali
    Haloubi, Tarek
    Finlayson, Neil
    Wang, Qiang
    Hopgood, James R.
    Vallejo, Marta
    [J]. METHODS AND APPLICATIONS IN FLUORESCENCE, 2024, 12 (02):