ArticleBiomedical optics express2015
Improved sparse reconstruction for fluorescence molecular tomography with L1/2 regularization.
Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Multi-target reconstruction strategy based on blind source separation of surface measurement signals in FMT.Biomedical optics express · 2023Article
- Multi-branch attention prior based parameterized generative adversarial network for fast and accurate limited-projection reconstruction in fluorescence molecular tomography.Biomedical optics express · 2022Article
- Nonconvex Laplacian Manifold Joint Method for Morphological Reconstruction of Fluorescence Molecular Tomography.Molecular imaging and biology · 2021Article
- Filtered maximum likelihood expectation maximization based global reconstruction for bioluminescence tomography.Medical & biological engineering & computing · 2018Article
- Recent methodology advances in fluorescence molecular tomography.Visual computing for industry, biomedicine, and art · 2018Review
- Signal-to-noise ratio analysis and improvement for fluorescence tomography imaging.The Review of scientific instruments · 2018Article
- Molecular Imaging of Acute Cardiac Transplant Rejection: Animal Experiments and Prospects.Transplantation · 2017Review
- An LBiomedical engineering online · 2017Article
- Local motion-compensated method for high-quality 3D coronary artery reconstruction.Biomedical optics express · 2016Article
- Fast and Robust Reconstruction for Fluorescence Molecular Tomography viaBioMed research international · 2016Article
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Authors and funding
6 authors.
Funding
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Abstract
Fluorescence molecular tomography (FMT) is a promising imaging technique that allows in vivo visualization of molecular-level events associated with disease progression and treatment response. Accurate and efficient 3D reconstruction algorithms will facilitate the wide-use of FMT in preclinical research. Here, we utilize L1/2-norm regularization for improving FMT reconstruction. To efficiently solve the nonconvex L1/2-norm penalized problem, we transform it into a weighted L1-norm minimization problem and employ a homotopy-based iterative reweighting algorithm to recover small fluorescent targets. Both simulations on heterogeneous mouse model and in vivo experiments demonstrated that the proposed L1/2-norm method outperformed the comparative L1-norm reconstruction methods in terms of location accuracy, spatial resolution and quantitation of fluorescent yield. Furthermore, simulation analysis showed the robustness of the proposed method, under different levels of measurement noise and number of excitation sources.
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