ArticleNMR in biomedicine2022
Prepolarized MRI of hard tissues and solid-state matter.
Article in NMR in biomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Zero-echo-time sequences in highly inhomogeneous fields.Magnetic resonance in medicine · 2025Article
- Low field slice-selective ZTE imaging of ultra-short [Formula: see text] tissues based on spin-locking.Scientific reports · 2023Article
- Benchmarking the performance of a low-cost magnetic resonance control system at multiple sites in the open MaRCoS community.NMR in biomedicine · 2023Article
- Prepolarized MRI of hard tissues and solid-state matter.NMR in biomedicine · 2022Article
- Portable magnetic resonance imaging of patients indoors, outdoors and at home.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prepolarized MRI (PMRI) is a long-established technique conceived to counteract the loss in signal-to-noise ratio (SNR) inherent to low-field MRI systems. When it comes to hard biological tissues and solid-state matter, PMRI is severely restricted by their ultra-short characteristic relaxation times. Here we demonstrate that efficient hard-tissue prepolarization is within reach with a special-purpose 0.26 T scanner designed for ex vivo dental MRI and equipped with suitable high-power electronics. We have characterized the performance of a 0.5 T prepolarizer module, which can be switched on and off in 200 μs. To this end, we have used resin, dental and bone samples, all with
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Registered trials
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.