ArticleScience advances2023
Deep learning enabled fast 3D brain MRI at 0.055 tesla.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Advancing the Volumetric Analysis of Ultra-Low-Field Brain MRI Using Image-to-Image Translation.Magnetic resonance in medicine · 2026Article
- Noise-Level Adaptive Diffusion Priors for Zero-Shot Low-Field MRI Quality Enhancement.NMR in biomedicine · 2026Article
- The potential of low-field MRI for global dementia care.Nature reviews. Neurology · 2026Review
- Deep Learning Reconstruction Enables Diagnostic-Quality 0.4T Knee and Spine MRI in One-Third of the Time.NMR in biomedicine · 2026Article
- A scoping review of portable ultra-low-field MRI studies in patients with acquired brain injury: Past, present, and future.Neuroimage. Reports · 2026Review
- SynPoC: a high-quality generative diffusion model for transforming ultra-low-field point-of-care MRI using high-field MRI representations.Scientific reports · 2026Article
- CHARMS: A CNN-Transformer Hybrid with Attention Regularization for MRI Super-Resolution.Sensors (Basel, Switzerland) · 2026Article
- Ultra-fast whole-brain T2-weighted imaging in 7 seconds using dual-type deep learning reconstruction with single-shot acquisition: clinical feasibility and comparison with conventional methods.Japanese journal of radiology · 2026Article
- Localized AI for stroke care in LMICs: a framework to overcome structural and diagnostic barriers.Frontiers in public health · 2026Review
- Study protocol for the Champaign-Urbana population study.Frontiers in neuroimaging · 2026Article
- Morphological Brain Analysis Using Ultra Low-Field MRI.Human brain mapping · 2025Article
- Deep Learning-Enhanced T1-Weighted Imaging for Breast MRI at 1.5T.Diagnostics (Basel, Switzerland) · 2025Article
- Review
- Characterization of Portable Ultra-Low Field MRI Scanners for Multi-Center Structural Neuroimaging.Human brain mapping · 2025Article
- MRI at low field: A review of software solutions for improving SNR.NMR in biomedicine · 2025Review
- Deep learning-driven MRI for accurate brain volumetry in murine models of neurodegenerative diseases.Frontiers in neuroscience · 2025Article
- A multimodal axial array resonator and its application in radiofrequency (RF) volume coil designs for low-field open magnetic resonance imaging (MRI).Quantitative imaging in medicine and surgery · 2024Article
- Portable, low-field magnetic resonance imaging for evaluation of Alzheimer's disease.Nature communications · 2024Article
- A review of deep learning-based reconstruction methods for accelerated MRI using spatiotemporal and multi-contrast redundancies.Biomedical engineering letters · 2024Review
- Prospective and multi-reader evaluation of deep learning reconstruction-based accelerated rectal MRI: image quality, diagnostic performance, and reading time.European radiology · 2024Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, there has been an intensive development of portable ultralow-field magnetic resonance imaging (MRI) for low-cost, shielding-free, and point-of-care applications. However, its quality is poor and scan time is long. We propose a fast acquisition and deep learning reconstruction framework to accelerate brain MRI at 0.055 tesla. The acquisition consists of a single average three-dimensional (3D) encoding with 2D partial Fourier sampling, reducing the scan time of T1- and T2-weighted imaging protocols to 2.5 and 3.2 minutes, respectively. The 3D deep learning leverages the homogeneous brain anatomy available in high-field human brain data to enhance image quality, reduce artifacts and noise, and improve spatial resolution to synthetic 1.5-mm isotropic resolution. Our method successfully overcomes low-signal barrier, reconstructing fine anatomical structures that are reproducible within subjects and consistent across two protocols. It enables fast and quality whole-brain MRI at 0.055 tesla, with potential for widespread biomedical applications.
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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.