ArticleMagma (New York, N.Y.)2023
A low-rank deep image prior reconstruction for free-breathing ungated spiral functional CMR at 0.55 T and 1.5 T.
Article in Magma (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 18 citations in OpenAlex.
- Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals.Magnetic resonance in medicine · 2026Article
- A Spatio-Temporal Diffusion Model for Cardiac Real-Time Imaging.Magnetic resonance in medicine · 2026Article
- Feasibility of tagged MRI at 0.55 T.Magnetic resonance in medicine · 2026Article
- Enhancing computation speed and accuracy in deep image prior-based parameter mapping.Magnetic resonance in medicine · 2025Article
- Multi-dynamic deep image prior for cardiac MRI.Magnetic resonance in medicine · 2025Article
- An unsupervised method for MRI recovery: deep image prior with structured sparsity.Magma (New York, N.Y.) · 2025Article
- Multifrequency Time-Dependent Deep Image Prior for Real-Time Free-Breathing Cardiac Imaging.NMR in biomedicine · 2025Article
- MRI recovery with self-calibrated denoisers without fully-sampled data.Magma (New York, N.Y.) · 2025Article
- High-resolution myelin-water fraction and quantitative relaxation mapping using 3D ViSTa-MR fingerprinting.Magnetic resonance in medicine · 2024Article
- Training deep learning based dynamic MR image reconstruction using open-source natural videos.Scientific reports · 2024Article
- DEEP IMAGE PRIOR WITH STRUCTURED SPARSITY (DISCUS) FOR DYNAMIC MRI RECONSTRUCTION.Proceedings. IEEE International Symposium on Biomedical Imaging · 2024Article
- New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal.Magma (New York, N.Y.) · 2024Review
- Cardiac MRI at Low Field Strengths.Journal of magnetic resonance imaging : JMRI · 2024Review
- A hybrid deep image prior and compressed sensing reconstruction method for highly accelerated 3D coronary magnetic resonance angiography.Frontiers in cardiovascular medicine · 2024Article
- High-resolution myelin-water fraction and quantitative relaxation mapping using 3D ViSTa-MR fingerprinting.ArXiv · 2023Article
- Exploring the foothills: benefits below 1 Tesla?Magma (New York, N.Y.) · 2023Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThis study combines a deep image prior with low-rank subspace modeling to enable real-time (free-breathing and ungated) functional cardiac imaging on a commercial 0.55 T scanner. MATERIALS AND
methodsThe proposed low-rank deep image prior (LR-DIP) uses two u-nets to generate spatial and temporal basis functions that are combined to yield dynamic images, with no need for additional training data. Simulations and scans in 13 healthy subjects were performed at 0.55 T and 1.5 T using a golden angle spiral bSSFP sequence with images reconstructed using [Formula: see text]-ESPIRiT, low-rank plus sparse (L + S) matrix completion, and LR-DIP. Cartesian breath-held ECG-gated cine images were acquired for reference at 1.5 T. Two cardiothoracic radiologists rated images on a 1-5 scale for various categories, and LV function measurements were compared.
resultsLR-DIP yielded the lowest errors in simulations, especially at high acceleration factors (R [Formula: see text] 8). LR-DIP ejection fraction measurements agreed with 1.5 T reference values (mean bias - 0.3% at 0.55 T and - 0.2% at 1.5 T). Compared to reference images, LR-DIP images received similar ratings at 1.5 T (all categories above 3.9) and slightly lower at 0.55 T (above 3.4).
conclusionFeasibility of real-time functional cardiac imaging using a low-rank deep image prior reconstruction was demonstrated in healthy subjects on a commercial 0.55 T scanner.
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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.