Research Papers: Imaging

Reconstruction of fluorescence molecular tomography via a nonmonotone spectral projected gradient pursuit method

[+] Author Affiliations
Jinzuo Ye

Chinese Academy of Sciences, Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, No.95 Zhongguancun East Road, Haidian District, Beijing 100190, China

Yang Du

Chinese Academy of Sciences, Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, No.95 Zhongguancun East Road, Haidian District, Beijing 100190, China

Yu An

Beijing Jiaotong University, School of Computer and Information Technology, Department of Biomedical Engineering, No.3 Shangyuancun, Haidian District, Beijing 100044, China

Chongwei Chi

Chinese Academy of Sciences, Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, No.95 Zhongguancun East Road, Haidian District, Beijing 100190, China

Jie Tian

Chinese Academy of Sciences, Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, No.95 Zhongguancun East Road, Haidian District, Beijing 100190, China

J. Biomed. Opt. 19(12), 126013 (Dec 24, 2014). doi:10.1117/1.JBO.19.12.126013
History: Received September 22, 2014; Accepted November 18, 2014
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Abstract.  Fluorescence molecular tomography (FMT) is a promising imaging technique in preclinical research, enabling three-dimensional location of the specific tumor position for small animal imaging. However, FMT presents a challenging inverse problem that is quite ill-posed and ill-conditioned. Thus, the reconstruction of FMT faces various challenges in its robustness and efficiency. We present an FMT reconstruction method based on nonmonotone spectral projected gradient pursuit (NSPGP) with l1-norm optimization. At each iteration, a spectral gradient-projection method approximately minimizes a least-squares problem with an explicit one-norm constraint. A nonmonotone line search strategy is utilized to get the appropriate updating direction, which guarantees global convergence. Additionally, the Barzilai–Borwein step length is applied to build the optimal step length, further improving the convergence speed of the proposed method. Several numerical simulation studies, including multisource cases as well as comparative analyses, have been performed to evaluate the performance of the proposed method. The results indicate that the proposed NSPGP method is able to ensure the accuracy, robustness, and efficiency of FMT reconstruction. Furthermore, an in vivo experiment based on a heterogeneous mouse model was conducted, and the results demonstrated that the proposed method held the potential for practical applications of FMT.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Jinzuo Ye ; Yang Du ; Yu An ; Chongwei Chi and Jie Tian
"Reconstruction of fluorescence molecular tomography via a nonmonotone spectral projected gradient pursuit method", J. Biomed. Opt. 19(12), 126013 (Dec 24, 2014). ; http://dx.doi.org/10.1117/1.JBO.19.12.126013


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