ArticleScience advances2022
Fast acquisition of propagating waves in humans with low-field MRI: Toward accessible MR elastography.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Open-Source Multinuclear Low-Field Preclinical MRI Scanner.NMR in biomedicine · 2026Article
- Correlation Between Breast Parenchymal Stiffness Measured by 3T Magnetic Resonance Elastography and CT-Derived Hounsfield Units.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- SynPoC: a high-quality generative diffusion model for transforming ultra-low-field point-of-care MRI using high-field MRI representations.Scientific reports · 2026Article
- 3D MR elastography at 0.55 T: Concomitant field effects and feasibility.Magnetic resonance in medicine · 2025Article
- Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques.Magma (New York, N.Y.) · 2025Article
- Advancements in imaging techniques for monitoring the respiratory muscles.Critical care (London, England) · 2025Review
- Promoting fast MR imaging pipeline by full-stack AI.iScience · 2024Article
- Low-field MRI: A report on the 2022 ISMRM workshop.Magnetic resonance in medicine · 2023Review
- Deep learning enabled fast 3D brain MRI at 0.055 tesla.Science advances · 2023Article
- Exploring the foothills: benefits below 1 Tesla?Magma (New York, N.Y.) · 2023Article
- Tackling SNR at low-field: a review of hardware approaches for point-of-care systems.Magma (New York, N.Y.) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most commonly used at clinical magnetic fields (1.5 to 3 T), magnetic resonance elastography (MRE) captures mechanical wave propagation to reconstruct the mechanical properties of soft tissue with MRI. However, in terms of noninvasively assessing disease progression in a broad range of organs (e.g., liver, breast, skeletal muscle, and brain), its accessibility is limited and its robustness is challenged when magnetic susceptibility differences are encountered. Low-field MRE offers an opportunity to overcome these issues, and yet it has never been demonstrated in vivo in humans with magnetic fields <1.5 T mainly because of the long acquisition times required to achieve a sufficient signal-to-noise ratio. Here, we describe a method to accelerate 3D motion-sensitized MR scans at 0.1 T using only 10%
Identifiers
What OpenQuestion holds
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.