ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2008
Regularized optimization (RO) reconstruction for oximetric EPR imaging.
Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Accelerated EPR imaging using deep learning denoising.Magnetic resonance in medicine · 2025Article
- Direct Measurement and Imaging of Redox Status with Electron Paramagnetic Resonance.Antioxidants & redox signaling · 2024Article
- 4D-image reconstruction directly from limited-angular-range data in continuous-wave electron paramagnetic resonance imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2023Article
- Compressed sensing of spatial electron paramagnetic resonance imaging.Magnetic resonance in medicine · 2014Article
- New spectral-spatial imaging algorithm for full EPR spectra of multiline nitroxides and pH sensitive trityl radicals.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2014Article
- Use of rapid-scan EPR to improve detection sensitivity for spin-trapped radicals.Biophysical journal · 2013Article
- The Instrument Set for Generating Fast Adiabatic Passage.Applied magnetic resonance · 2012Article
- Deconvolution of sinusoidal rapid EPR scans.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2011Article
- Combining absorption and dispersion signals to improve signal-to-noise for rapid-scan EPR imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2010Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
A new algorithm for EPR imaging oximetry is described and tested with experimental data for the case of one spatial and one spectral dimension. A single species with variable linewidth is assumed. Instead of creating a 2D image, two one-dimensional profiles are reconstructed: the concentration of the radical and the corresponding oxygen concentration, which reduces the dimensionality of the problem. The algorithm (i) seeks to minimize the discrepancy between experimental data and projections calculated from the profiles and (ii) uses Tikhonov regularization to constrain the smoothness of the results. This approach controllably smoothes profiles rather than the data, while preserving sharp features.
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Registered trials
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