ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2023
4D-image reconstruction directly from limited-angular-range data in continuous-wave electron paramagnetic resonance imaging.
Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2023. 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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5 citing papers in PubMed.
- Accurate image reconstruction from reduced data in pulsed electron paramagnetic resonance imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2025Article
- 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
- 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
- Accurate reconstruction of 4D spectral-spatial images from sparse-view data in continuous-wave EPRI.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2024Article
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Abstract
objectiveWe investigate and develop optimization-based algorithms for accurate reconstruction of four-dimensional (4D)-spectral-spatial (SS) images directly from data collected over limited angular ranges (LARs) in continuous-wave (CW) electron paramagnetic resonance imaging (EPRI).
methodsBasing on a discrete-to-discrete data model devised in CW EPRI employing the Zeeman-modulation (ZM) scheme for data acquisition, we first formulate the image reconstruction problem as a convex, constrained optimization program that includes a data fidelity term and also constraints on the individual directional total variations (DTVs) of the 4D-SS image. Subsequently, we develop a primal-dual-based DTV algorithm, simply referred to as the DTV algorithm, to solve the constrained optimization program for achieving image reconstruction from data collected in LAR scans in CW-ZM EPRI.
resultsWe evaluate the DTV algorithm in simulated- and real-data studies for a variety of LAR scans of interest in CW-ZM EPRI, and visual and quantitative results of the studies reveal that 4D-SS images can be reconstructed directly from LAR data, which are visually and quantitatively comparable to those obtained from data acquired in the standard, full-angular-range (FAR) scan in CW-ZM EPRI.
conclusionAn optimization-based DTV algorithm is developed for accurately reconstructing 4D-SS images directly from LAR data in CW-ZM EPRI. Future work includes the development and application of the optimization-based DTV algorithm for reconstructions of 4D-SS images from FAR and LAR data acquired in CW EPRI employing schemes other than the ZM scheme. SIGNIFICANCE: The DTV algorithm developed may be exploited potentially for enabling and optimizing CW EPRI with minimized imaging time and artifacts by acquiring data in LAR scans.
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