title: Excitation-resolved multispectral method for imaging pharmacokinetic parameters in dynamic fluorescent molecular tomography.
abstract: Imaging of the pharmacokinetic parameters in dynamic fluorescence molecular tomography (DFMT) can provide three-dimensional metabolic information for biological studies and drug development. However, owing to the ill-posed nature of the FMT inverse problem, the relatively low quality of the parametric images makes it difficult to investigate the different metabolic processes of the fluorescent targets with small distances. An excitation-resolved multispectral DFMT method is proposed; it is based on the fact that the fluorescent targets with different concentrations show different variations in the excitation spectral domain and can be considered independent signal sources. With an independent component analysis method, the spatial locations of different fluorescent targets can be decomposed, and the fluorescent yields of the targets at different time points can be recovered. Therefore, the metabolic process of each component can be independently investigated. Simulations and phantom experiments are carried out to evaluate the performance of the proposed method. The results demonstrated that the proposed excitation-resolved multispectral method can effectively improve the reconstruction accuracy of the parametric images in DFMT.
authors.affiliation: Tsinghua University, School of Medicine, Department of Biomedical Engineering, Beijing, China.
authors.forename: Maomao
authors.initials: M
authors.lastname: Chen
authors.affiliation: Tsinghua University, School of Medicine, Department of Biomedical Engineering, Beijing, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Tsinghua University, School of Medicine, Department of Biomedical Engineering, Beijing, China.
authors.forename: Han
authors.initials: H
authors.lastname: Su
authors.affiliation: Tsinghua University, School of Medicine, Department of Biomedical Engineering, Beijing, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Zhang
authors.affiliation: Tsinghua University, School of Medicine, Department of Biomedical Engineering, Beijing, ChinabTsinghua University, Center for Biomedical Imaging Research, Beijing, China.
authors.forename: Jianwen
authors.initials: J
authors.lastname: Luo
mesh_terms: D000465:Algorithms; D004396:Coloring Agents; D003198:Computer Simulation; D005453:Fluorescence; D006321:Heart / Q000000981:diagnostic imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D008168:Lung / Q000000981:diagnostic imaging; D008962:Models, Theoretical; D056004:Molecular Dynamics Simulation; D057054:Molecular Imaging / Q000379:methods*; D061848:Optical Imaging / Q000379:methods*; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted; D014054:Tomography / Q000379:methods; D014057:Tomography, X-Ray Computed
chemical_list: D004396:Coloring Agents