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ArticleAdvances in experimental medicine and biology2026

Random Acquisition of Spectral Projections in Four-Dimensional Spectral-Spatial EPR Imaging: A Feasibility Study Toward Oxygen Imaging.

Misa Oba, Mai Taguchi, Shingo Matsumoto, Hiroshi Hirata

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Article in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Misa ObaGraduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan.
Mai TaguchiGraduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan.
Shingo MatsumotoFaculty of Information Science and Technology, Hokkaido University, Sapporo, Japan.
Hiroshi HirataFaculty of Information Science and Technology, Hokkaido University, Sapporo, Japan. hhirata@ist.hokudai.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In continuous-wave electron paramagnetic resonance (CW-EPR) imaging, many spectral projections are required to accurately reconstruct four-dimensional (4D) spectral-spatial data, which are used for oxygen mapping in tumors. The ability to obtain fewer spectral projections with less degradation of the resultant image quality is desirable because acquiring many spectral projections leads to a longer time for EPR imaging acquisition. The algebraic reconstruction technique (ART) is one of the most powerful image-reconstruction techniques for 4D spectral-spatial imaging. ART can be applied to incomplete sets of spectral projections. However, data sets of many spectral projections can provide reconstructed images of higher quality. In this study, we aimed to enhance acquisition speed by randomly collecting spectral projections and subsequently synthesizing those that had not been recorded. We applied this strategy to a numerical phantom and a mouse Hs766T xenograft model to confirm the feasibility of our concept. Random acquisition can prevent image degradation in linewidth mapping, which is the foundation for oxygen mapping with CW-EPR.

Indexed as

OxygenAnimalsCell Line, TumorElectron Spin Resonance SpectroscopyFeasibility StudiesHumansImage Processing, Computer-AssistedMicePhantoms, ImagingOxygen4D spectral-spatial imagingAccelerated image acquisitionEPRpO2 mappingTumor

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.