13 May 2015 Fluorescence molecular tomography reconstruction via discrete cosine transform-based regularization
Author Affiliations +
Abstract
Fluorescence molecular tomography (FMT) as a noninvasive imaging modality has been widely used for biomedical preclinical applications. However, FMT reconstruction suffers from severe ill-posedness, especially when a limited number of projections are used. In order to improve the quality of FMT reconstruction results, a discrete cosine transform (DCT) based reweighted L1-norm regularization algorithm is proposed. In each iteration of the reconstruction process, different reweighted regularization parameters are adaptively assigned according to the values of DCT coefficients to suppress the reconstruction noise. In addition, the permission region of the reconstructed fluorophores is adaptively constructed to increase the convergence speed. In order to evaluate the performance of the proposed algorithm, physical phantom and
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
Junwei Shi, Junwei Shi, Fei Liu, Fei Liu, Jiulou Zhang, Jiulou Zhang, Jianwen Luo, Jianwen Luo, Jing Bai, Jing Bai, } "Fluorescence molecular tomography reconstruction via discrete cosine transform-based regularization," Journal of Biomedical Optics 20(5), 055004 (13 May 2015). https://doi.org/10.1117/1.JBO.20.5.055004 . Submission:
JOURNAL ARTICLE
10 PAGES


SHARE
Back to Top