ArticleMagnetic resonance in medicine2016
Accelerated and motion-robust in vivo T2 mapping from radially undersampled data using bloch-simulation-based iterative reconstruction.
Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
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- Latest Advances in Image Acceleration: All Dimensions are Fair Game.Journal of magnetic resonance imaging : JMRI · 2023Review
- Study of T2 mapping in quantifying and discriminating uterine lesions under different magnetic field strengths: 1.5 T vs. 3.0 T.BMC medical imaging · 2023Article
- Mapping of magnetic resonance imaging's transverse relaxation time at low signal-to-noise ratio using Bloch simulations and principal component analysis image denoising.NMR in biomedicine · 2022Article
- Golden-Angle Radial MRI: Basics, Advances, and Applications.Journal of magnetic resonance imaging : JMRI · 2022Review
- Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends.NMR in biomedicine · 2022Review
- A review and experimental evaluation of deep learning methods for MRI reconstruction.The journal of machine learning for biomedical imaging · 2022Article
- Physics-based reconstruction methods for magnetic resonance imaging.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Review
- Bilingualism is a long-term cognitively challenging experience that modulates metabolite concentrations in the healthy brain.Scientific reports · 2021Article
- Improving subspace constrained radial fast spin echo MRI using block matching driven non-local low rank regularization.Physics in medicine and biology · 2021Article
- Quantitative TMagnetic resonance imaging · 2020Article
- Analysis of magnetization transfer (MT) influence on quantitative mapping of TMagnetic resonance in medicine · 2019Article
- MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR parameter mapping.Magnetic resonance in medicine · 2019Article
- Propagation of error from parameter constraints in quantitative MRI: Example application of multiple spin echo TMagnetic resonance in medicine · 2018Article
- Low rank alternating direction method of multipliers reconstruction for MR fingerprinting.Magnetic resonance in medicine · 2018Article
- Advances in Spinal Functional Magnetic Resonance Imaging in the Healthy and Injured Spinal Cords.Current physical medicine and rehabilitation reports · 2017Article
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Authors and funding
5 authors.
Funding
Abstract
purposeDevelopment of a quantitative transverse relaxation time (T2)-mapping platform that operates at clinically feasible timescales by employing advanced image reconstruction of radially undersampled multi spin-echo (MSE) datasets.
methodsData was acquired on phantom and in vivo at 3 Tesla using MSE protocols employing radial k-space sampling trajectories. In order to overcome the nontrivial spin evolution associated with MSE protocols, a numerical signal model was precalculated based on Bloch simulations of the actual pulse-sequence scheme used in the acquisition process. This signal model was subsequently incorporated into an iterative model-based image reconstruction process, producing T2 and proton-density maps.
resultsT2 maps of phantom and in vivo brain were successfully constructed, closely matching values produced by a single spin-echo reference scan. High-resolution mapping was also performed for the spinal cord in vivo, differentiating the underlying gray/white matter morphology.
conclusionThe presented MSE data-processing framework offers reliable mapping of T2 relaxation values in a ∼ 5-minute timescale, free of user- and scanner-dependent variations. The use of radial k-space sampling provides further advantages in the form of high immunity to irregular physiological motion, as well as enhanced spatial resolutions, owing to its inherent ability to perform alias-free limited field-of-view imaging.
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