ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2014
Comparison of parabolic filtration methods for 3D filtered back projection in pulsed EPR imaging.
Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- HDTV: a high-order directional total variation reconstruction algorithm from sparse and limited-angle data in electron paramagnetic resonance imaging.Quantitative imaging in medicine and surgery · 2025Article
- Directional TV algorithm for fast EPR imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2024Article
- An iterative reconstruction algorithm without system matrix for EPR imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2022Article
- A balanced total-variation-Chambolle-Pock algorithm for EPR imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2021Article
- Optimization-based image reconstruction from sparsely sampled data in electron paramagnetic resonance imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2018Article
- 3D pulse EPR imaging from sparse-view projections via constrained, total variation minimization.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Pulse electron paramagnetic resonance imaging (Pulse EPRI) is a robust method for noninvasively measuring local oxygen concentrations in vivo. For 3D tomographic EPRI, the most commonly used reconstruction algorithm is filtered back projection (FBP), in which the parabolic filtration process strongly influences image quality. In this work, we designed and compared 7 parabolic filtration methods to reconstruct both simulated and real phantoms. To evaluate these methods, we designed 3 error criteria and 1 spatial resolution criterion. It was determined that the 2 point derivative filtration method and the two-ramp-filter method have unavoidable negative effects resulting in diminished spatial resolution and increased artifacts respectively. For the noiseless phantom the rectangular-window parabolic filtration method and sinc-window parabolic filtration method were found to be optimal, providing high spatial resolution and small errors. In the presence of noise, the 3 point derivative method and Hamming-window parabolic filtration method resulted in the best compromise between low image noise and high spatial resolution. The 3 point derivative method is faster than Hamming-window parabolic filtration method, so we conclude that the 3 point derivative method is optimal for 3D FBP.
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