ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2020
Algebraic reconstruction of 3D spatial EPR images from high numbers of noisy projections: An improved image reconstruction technique for high resolution fast scan EPR imaging.
Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Partial Acquisition of Spectral Projections Accelerates Four-dimensional Spectral-spatial EPR Imaging for Mouse Tumor Models: A Feasibility Study.Molecular imaging and biology · 2024Article
- Directional TV algorithm for fast EPR imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2024Article
- Redox-Sensitive Mapping of a Mouse Tumor Model Using Sparse Projection Sampling of Electron Paramagnetic Resonance.Antioxidants & redox signaling · 2022Article
- High fidelity triangular sweep of the magnetic field for millisecond scan EPR imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2021Article
- A balanced total-variation-Chambolle-Pock algorithm for EPR imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
A novel method for reconstructing 3D spatial EPR images from large numbers of noisy projections was developed that minimizes mean square error between the experimental projections and those from the reconstructed image. The method utilizes raw projection data and zero gradient spectrum to account for EPR line shape and hyperfine structure of the paramagnetic probe without the need for deconvolution techniques that are poorly suited for processing of high noise projections. A numerical phantom was reconstructed for method validation. Reconstruction time for the matrix of 128
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