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
Link To Document :
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