ArticleMagnetic resonance in medicine2020
Accelerated mono- and biexponential 3D-T1ρ relaxation mapping of knee cartilage using golden angle radial acquisitions and compressed sensing.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- Utilizing 3D fast spin echo anatomical imaging to reduce the number of contrast preparations inMagnetic resonance in medicine · 2025Article
- Fast Compressed Sensing of 3D Radial TJournal of imaging · 2023Article
- Optimization of spin-lock times for TScientific reports · 2022Article
- Efficient phase-cycling strategy for high-resolution 3D gradient-echo quantitative parameter mapping.NMR in biomedicine · 2022Article
- Embedded Quantitative MRI TJournal of imaging · 2022Article
- Optimization of spin-lock times in TMagnetic resonance in medicine · 2022Article
- Accelerating the 3D TQuantitative imaging in medicine and surgery · 2021Article
- Pilot study quantifying muscle glycosaminoglycan using bi-exponential TScientific reports · 2021Article
- Optimal acceleration factor for image acquisition in turbo spin echo: diffusion-weighted imaging with compressed sensing.Radiological physics and technology · 2021Article
- Fast multicomponent 3D-TNMR in biomedicine · 2020Article
- Rapid mono and biexponential 3D-TScientific reports · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeTo use golden-angle radial sampling and compressed sensing (CS) for accelerating mono- and biexponential 3D spin-lattice relaxation time in the rotating frame (T
methodsGolden-angle radial stack-of-stars and Cartesian 3D-T
resultsMost CS methods performed well for an AF of 2, with relative median normalized absolute deviation below 10% for monoexponential and biexponential mapping. For monoexponential mapping, radial sampling obtained a median normalized absolute deviation below 10% up to AF of 10, while Cartesian obtained this level of error only up to AF of 4. Radial sampling was also better with biexponential T
conclusionGolden-angle radial acquisitions combined with CS outperformed Cartesian acquisitions for 3D-T
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