ArticleBiomedical optics express2014
Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method.
Article in Biomedical optics express, 2014. 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.
- Harmonized technical standard test methods for quality evaluation of medical fluorescence endoscopic imaging systems.Visual computing for industry, biomedicine, and art · 2025Article
- Neighbor-based adaptive sparsity orthogonal least square for fluorescence molecular tomography.Journal of biomedical optics · 2023Article
- Nonconvex Laplacian Manifold Joint Method for Morphological Reconstruction of Fluorescence Molecular Tomography.Molecular imaging and biology · 2021Article
- An Artificial Intelligent Signal Amplification System forFrontiers in bioengineering and biotechnology · 2019Article
- Recent methodology advances in fluorescence molecular tomography.Visual computing for industry, biomedicine, and art · 2018Review
- Image reconstruction in fluorescence molecular tomography with sparsity-initialized maximum-likelihood expectation maximization.Biomedical optics express · 2018Article
- A Sparsity-Constrained Preconditioned Kaczmarz Reconstruction Method for Fluorescence Molecular Tomography.BioMed research international · 2016Article
- A reconstruction approach in wavelet domain for fluorescent molecular tomography via rotated sources illumination.Biomedical engineering online · 2015Article
- Increased precision of orthotopic and metastatic breast cancer surgery guided by matrix metalloproteinase-activatable near-infrared fluorescence probes.Scientific reports · 2015Article
- Reconstruction Method for Optical Tomography Based on the Linearized Bregman Iteration with Sparse Regularization.Computational and mathematical methods in medicine · 2015Article
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Authors and funding
8 authors.
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Abstract
Fluorescence molecular tomography (FMT), as a promising imaging modality, can three-dimensionally locate the specific tumor position in small animals. However, it remains challenging for effective and robust reconstruction of fluorescent probe distribution in animals. In this paper, we present a novel method based on sparsity adaptive subspace pursuit (SASP) for FMT reconstruction. Some innovative strategies including subspace projection, the bottom-up sparsity adaptive approach, and backtracking technique are associated with the SASP method, which guarantees the accuracy, efficiency, and robustness for FMT reconstruction. Three numerical experiments based on a mouse-mimicking heterogeneous phantom have been performed to validate the feasibility of the SASP method. The results show that the proposed SASP method can achieve satisfactory source localization with a bias less than 1mm; the efficiency of the method is much faster than mainstream reconstruction methods; and this approach is robust even under quite ill-posed condition. Furthermore, we have applied this method to an in vivo mouse model, and the results demonstrate the feasibility of the practical FMT application with the SASP method.
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