DocumentCode
108233
Title
Reconstruction of Fluorophore Concentration Variation in Dynamic Fluorescence Molecular Tomography
Author
Xuanxuan Zhang ; Fei Liu ; Simin Zuo ; Junwei Shi ; Guanglei Zhang ; Jing Bai ; Jianwen Luo
Author_Institution
Dept. of Biomed. Eng., Tsinghua Univ., Beijing, China
Volume
62
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
138
Lastpage
144
Abstract
Dynamic fluorescence molecular tomography (DFMT) is a potential approach for drug delivery, tumor detection, diagnosis, and staging. The purpose of DFMT is to quantify the changes of fluorescent agents in the bodies, which offer important information about the underlying physiological processes. However, the conventional method requires that the fluorophore concentrations to be reconstructed are stationary during the data collection period. As thus, it cannot offer the dynamic information of fluorophore concentration variation within the data collection period. In this paper, a method is proposed to reconstruct the fluorophore concentration variation instead of the fluorophore concentration through a linear approximation. The fluorophore concentration variation rate is introduced by the linear approximation as a new unknown term to be reconstructed and is used to obtain the time courses of fluorophore concentration. Simulation and phantom studies are performed to validate the proposed method. The results show that the method is able to reconstruct the fluorophore concentration variation rates and the time courses of fluorophore concentration with relative errors less than 0.0218.
Keywords
approximation theory; biochemistry; biomedical optical imaging; data acquisition; drug delivery systems; dyes; error analysis; fluorescence; image reconstruction; medical image processing; optical tomography; phantoms; spectrochemical analysis; tumours; DFMT; data collection period; diagnosis; drug delivery; dynamic fluorescence molecular tomography; dynamic fluorophore concentration variation; fluorescent agent change quantification; fluorophore concentration time course; fluorophore concentration variation rate; fluorophore concentration variation reconstruction; linear approximation; phantom study; physiological process; relative errors; simulation; staging; stationary fluorophore concentration reconstruction; tumor detection; Electron tubes; Equations; Fluorescence; Image reconstruction; Mathematical model; Phantoms; Dynamic imaging; fluorescence; image reconstruction; tomography;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2014.2342293
Filename
6863669
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