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Journal of Biomedical Optics

Fluorescence molecular tomography reconstruction via discrete cosine transform-based regularization
Author(s): Junwei Shi; Fei Liu; Jiulou Zhang; Jianwen Luo; Jing Bai
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Paper 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 <italic<in vivo</italic< mouse experiments with a limited number of projections are carried out. For comparison, different L1-norm regularization strategies are employed. By quantifying the signal-to-noise ratio (SNR) of the reconstruction results in the phantom and <italic<in vivo</italic< mouse experiments with four projections, the proposed DCT-based reweighted L1-norm regularization shows higher SNR than other L1-norm regularizations employed in this work.

Paper Details

Date Published: 13 May 2015
PDF: 10 pages
J. Biomed. Opt. 20(5) 055004 doi: 10.1117/1.JBO.20.5.055004
Published in: Journal of Biomedical Optics Volume 20, Issue 5
Show Author Affiliations
Junwei Shi, Tsinghua Univ. School of Medicine (China)
Fei Liu, Tsinghua Univ. School of Medicine (China)
Tsinghua Univ. (China)
Jiulou Zhang, Tsinghua Univ. School of Medicine (China)
Jianwen Luo, Tsinghua Univ. (China)
Jing Bai, Tsinghua Univ. School of Medicine (China)

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