ArticleMagnetic resonance in medicine2024
A decay-modeled compressed sensing reconstruction approach for non-Cartesian hyperpolarized
Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Feasibility and SNR Performance of HyperpolarizedMagnetic resonance in medicine · 2026Article
- Deep learning-based high-resolution united compressed sensing for gadoxetic acid-enhanced liver magnetic resonance imaging in the detection of colorectal liver metastases.Quantitative imaging in medicine and surgery · 2026Article
- Comparative evaluation of supervised and unsupervised deep learning strategies for denoising hyperpolarizedMagnetic resonance in medicine · 2026Article
- Optimizing Xenon 129 Ventilation MRI in Cystic Fibrosis with Spiral Imaging and Flip-Angle Correction.Radiology. Cardiothoracic imaging · 2025Article
- Quantifying spatial and dynamic lung abnormalities with 3D PREFUL FLORET UTE imaging: A feasibility study.Magnetic resonance in medicine · 2025Article
- Same-Day Repeatability and 28-Day Reproducibility of Xenon MRI Ventilation in Children With Cystic Fibrosis in a Multi-Site Trial.Journal of magnetic resonance imaging : JMRI · 2025Article
- Article
- UltrasensitiveAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Compressed sensing reconstruction for high-SNR, rapid dissolvedMagnetic resonance in medicine · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
purposeHyperpolarized
methodsRadio-frequency, T
resultsCS reconstructions in simulations yielded images with threefold increases in accuracy. CS increased sharpness and contrast for ventilation in vivo imaging and showed greater accuracy for undersampled acquisitions. CS improved gas-exchange imaging, particularly in the dissolved-phase where apparent-SNR improved, and structure was made discernable. Finally, CS showed repeatability in important global gas-exchange metrics including median dissolved-gas signal ratio and median angle between real/imaginary components.
conclusionA non-Cartesian CS reconstruction approach that incorporates hyperpolarized
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Registered trials
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