CASIA OpenIR  > 中国科学院分子影像重点实验室
Evaluation of the anti-neoplastic effect of sorafenib on liver cancer
Qian Liang; Jinzuo Ye; Yang Du; Chongwei Chi; Jie Tian
Conference NameSPIE Medical Imaging. International Society for Optics and Photonics
Conference Date2017-02
Conference Place美国休斯敦
AbstractIn vivo fluorescence molecular imaging (FMI) has played an increasingly important role in biomedical research of preclinical area. Fluorescence molecular tomography (FMT) further upgrades the two-dimensional FMI optical information to three-dimensional fluorescent source distribution, which can greatly facilitate applications in related studies. However, FMT presents a challenging inverse problem which is quite ill-posed and ill-conditioned. Continuous efforts to develop more practical and efficient methods for FMT reconstruction are still needed. In this paper, a method based on spectral projected gradient pursuit (SPGP) has been proposed for FMT reconstruction. The proposed method was based on the directional pursuit framework. A mathematical strategy named the nonmonotone line search was associated with the SPGP method, which guaranteed the global convergence. In addition, the Barzilai-Borwein step length was utilized to build the new step length of the SPGP method, which was able to speed up the convergence of this gradient method. To evaluate the performance of the proposed method, several heterogeneous simulation experiments including multisource cases as well as comparative analyses have been conducted. The results demonstrated that, the proposed method was able to achieve satisfactory source localizations with a bias less than 1 mm; the computational efficiency of the method was one order of magnitude faster than the contrast method; and the fluorescence reconstructed by the proposed method had a higher contrast to the background than the contrast method. All the results demonstrated the potential for practical FMT applications with the proposed method.
Document Type会议论文
Corresponding AuthorJie Tian
AffiliationKey Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Qian Liang,Jinzuo Ye,Yang Du,et al. Evaluation of the anti-neoplastic effect of sorafenib on liver cancer[C],2017.
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