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Journal of Biomedical Optics

Reconstruction of fluorescence molecular tomography via a nonmonotone spectral projected gradient pursuit method
Author(s): Jinzuo Ye; Yang Du; Yu An; Chongwei Chi; Jie Tian
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Paper 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.

Paper Details

Date Published: 24 December 2014
PDF: 12 pages
J. Biomed. Opt. 19(12) 126013 doi: 10.1117/1.JBO.19.12.126013
Published in: Journal of Biomedical Optics Volume 19, Issue 12
Show Author Affiliations
Jinzuo Ye, Institute of Automation (China)
Yang Du, Institute of Automation (China)
Yu An, Beijing Jiaotong Univ. (China)
Chongwei Chi, Institute of Automation (China)
Jie Tian, Institute of Automation (China)


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