Model‐based reconstruction for simultaneous multi‐slice T1 mapping using single‐shot inversion‐recovery radial FLASH
@article{Wang2019ModelbasedRF, title={Model‐based reconstruction for simultaneous multi‐slice T1 mapping using single‐shot inversion‐recovery radial FLASH}, author={Xiaoqing Wang and Sebastian Rosenzweig and Nick Scholand and H. Christian M. Holme and Martin Uecker}, journal={Magnetic Resonance in Medicine}, year={2019}, volume={85}, pages={1258 - 1271} }
To develop a single‐shot multi‐slice T1 mapping method by combing simultaneous multi‐slice (SMS) excitations, single‐shot inversion‐recovery (IR) radial fast low‐angle shot (FLASH), and a nonlinear model–based reconstruction method.
8 Citations
Physics-based reconstruction methods for magnetic resonance imaging
- MathematicsPhilosophical Transactions of the Royal Society A
- 2021
This review will discuss basic concepts of model-based reconstructions and report on the experience in developing several model- based methods over the last decade using selected examples that are provided complete with data and code.
Data for: Free-Breathing Water, Fat, R2∗ and B0 Field Mapping of the Liver Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (MERLOT)
- Physics
- 2021
Purpose: To achieve free-breathing quantitative fat and R∗ 2 mapping of the liver using a generalized model-based iterative reconstruction, dubbed as MERLOT. Methods: For acquisition, we use a…
Quantitative Magnetic Resonance Imaging by Nonlinear Inversion of the Bloch Equations
- Physics
- 2022
Purpose: Development of a generic model-based reconstruction framework for multi-parametric quantitative MRI that can be used with data from different pulse sequences. Methods: Generic nonlinear…
ADEPT: Accurate Diffusion Echo‐Planar imaging with multi‐contrast shoTs
- MedicineMagnetic resonance in medicine
- 2022
A novel imaging and parameter estimation framework for accurate multi‐shot diffusion MRI is introduced and a new approach to estimating the number of hits on a diffusion MRI target is proposed.
Latent Signal Models: Learning Compact Representations of Signal Evolution for Improved Time-Resolved, Multi-contrast MRI
- Computer Science
- 2022
The proposed Latent Signal Model framework inserts the decoder portion of the auto-encoder into the forward model and directly reconstructs the latent representation and achieves consistent quantitative NRMSE and qualitative improvement over linear approaches.
Rapid fat–water separated T1 mapping using a single‐shot radial inversion‐recovery spoiled gradient recalled pulse sequence
- MedicineNMR in biomedicine
- 2022
In this work, intravoxel fat is found to have a variable, echo‐time‐dependent effect on measured T1 values, and this effect may be mitigated using the proposed DRradIR‐T1.
Cardiac MR: From Theory to Practice
- MedicineFrontiers in Cardiovascular Medicine
- 2022
An overview of novel deep learning image segmentation and analysis methods is provided with a focus on automatic, fast and reliable extraction of biomarkers and parameters of clinical relevance.
Free‐breathing myocardial T1 mapping using inversion‐recovery radial FLASH and motion‐resolved model‐based reconstruction
- MedicineMagnetic resonance in medicine
- 2022
To develop a free‐breathing myocardial T1$$ {\mathrm{T}}_1 $$ mapping technique using inversion‐recovery (IR) radial fast low‐angle shot (FLASH) and calibrationless motion‐resolved model‐based…
References
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To develop a model‐based reconstruction technique for single‐shot T1 mapping with high spatial resolution, accuracy, and precision using an inversion‐recovery (IR) fast low‐angle shot (FLASH)…
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Rapid, robust, accurate, and precise multislice T1 mapping may be achieved by combining the advantages of a model-based nonlinear inverse reconstruction, radial sampling, parallel imaging, and compressed sensing.