ArticleOptics letters2014
L(p) regularization for early gate fluorescence molecular tomography.
Article in Optics letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Deep learning-based temporal deconvolution for photon time-of-flight distribution retrieval.Optics letters · 2024Article
- Multi-target reconstruction strategy based on blind source separation of surface measurement signals in FMT.Biomedical optics express · 2023Article
- Reconstruction of fluorophore absorption and fluorescence lifetime using early photon mesoscopic fluorescence molecular tomography: a phantom study.Journal of biomedical optics · 2022Article
- Multi-branch attention prior based parameterized generative adversarial network for fast and accurate limited-projection reconstruction in fluorescence molecular tomography.Biomedical optics express · 2022Article
- Design and characterization of a time-domain optical tomography platform for mesoscopic lifetime imaging.Biomedical optics express · 2022Article
- Monte Carlo-based data generation for efficient deep learning reconstruction of macroscopic diffuse optical tomography and topography applications.Journal of biomedical optics · 2022Article
- Macroscopic Fluorescence Lifetime Imaging for Monitoring of Drug-Target Engagement.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Optimization of data acquisition operation in optical tomography based on estimation theory.Biomedical optics express · 2021Article
- Nonconvex Laplacian Manifold Joint Method for Morphological Reconstruction of Fluorescence Molecular Tomography.Molecular imaging and biology · 2021Article
- Intravital mesoscopic fluorescence molecular tomography allows non-invasive in vivo monitoring and quantification of breast cancer growth dynamics.Communications biology · 2021Article
- High-resolution tomographic analysis of in vitro 3D glioblastoma tumor model under long-term drug treatment.Science advances · 2020Article
- System configuration optimization for mesoscopic fluorescence molecular tomography.Biomedical optics express · 2019Article
- Hyperspectral wide-field time domain single-pixel diffuse optical tomography platform.Biomedical optics express · 2018Article
- Comparison of illumination geometry for lifetime-based measurements in whole-body preclinical imaging.Journal of biophotonics · 2018Article
- Recent methodology advances in fluorescence molecular tomography.Visual computing for industry, biomedicine, and art · 2018Review
- Review of structured light in diffuse optical imaging.Journal of biomedical optics · 2018Review
- Image reconstruction in fluorescence molecular tomography with sparsity-initialized maximum-likelihood expectation maximization.Biomedical optics express · 2018Article
- Improving mesoscopic fluorescence molecular tomography via preconditioning and regularization.Biomedical optics express · 2018Article
- Optical tomographic imaging for breast cancer detection.Journal of biomedical optics · 2017Article
- Improving mesoscopic fluorescence molecular tomography through data reduction.Biomedical optics express · 2017Article
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5 authors.
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Abstract
Time domain fluorescence molecular tomography (TD-FMT) provides a unique dataset for enhanced quantification and spatial resolution. The time-gate dataset can be divided into two temporal groups around the maximum counts gate, which are early gates and late gates. It is well established that early gates allow for improved spatial resolution and late gates are essential for fluorophore unmixing and concentration quantification. However, the inverse problem of FMT is ill-posed and typically underdetermined, which makes image reconstruction highly susceptible to data noise. More specifically, photon counts are inherently very low at early gates due to high absorption and scattering of tissue, resulting in a low signal-to-noise ratio and unstable reconstructions. In this work, an L(p) regularization-based reconstruction algorithm was developed and tested with our wide-field mesh-based Monte Carlo simulation strategy. We compared the early time-gate reconstructions obtained with the different p (p∈{1/16,1/8,1/4,1/3,1/2,1,2}) from a synthetic murine model simulating the fluorophore uptake in the kidneys and preclinical data. The results from a 3D mouse atlas and a mouse experiment show that our L(1/4) regularization methods give the best performance for early time gates reconstructions.
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