TY - JOUR
T1 - Three-dimensional reconstruction for fluorescence tomography using cylinder phantoms
AU - Song, Xiao Lei
AU - Hu, Gang
AU - Yao, Jun Jie
AU - Bai, Jing
PY - 2009/5/1
Y1 - 2009/5/1
N2 - Based on the finite element analysis, this study applies three iterative regularization algorithms to the 3D reconstruction of fluorescent yield, including conjugate gradient least square (CGLS), least square QR decomposition (LSQR), and 2-order pre-iteration method. By using a non-contact, multi-angle transmission imaging system, the experiments of single fluorescent target and double targets with the common-used cylinder phantom are conducted. Experimental results show that the above three methods could estimate the position of fluorescence targets accurately, while the time cost of each method is only about 2% of that of algebraic reconstruction technology (ART).
AB - Based on the finite element analysis, this study applies three iterative regularization algorithms to the 3D reconstruction of fluorescent yield, including conjugate gradient least square (CGLS), least square QR decomposition (LSQR), and 2-order pre-iteration method. By using a non-contact, multi-angle transmission imaging system, the experiments of single fluorescent target and double targets with the common-used cylinder phantom are conducted. Experimental results show that the above three methods could estimate the position of fluorescence targets accurately, while the time cost of each method is only about 2% of that of algebraic reconstruction technology (ART).
KW - Fluorescence tomography
KW - Inversion method
KW - Photon propagation model
KW - Reconstruction algorithm
UR - http://www.scopus.com/inward/record.url?scp=65749099785&partnerID=8YFLogxK
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U2 - 10.3724/SP.J.1001.2009.03560
DO - 10.3724/SP.J.1001.2009.03560
M3 - Article
AN - SCOPUS:65749099785
VL - 20
SP - 1089
EP - 1095
JO - Ruan Jian Xue Bao/Journal of Software
JF - Ruan Jian Xue Bao/Journal of Software
SN - 1000-9825
IS - 5
ER -