Purpose. To develop a high-speed multislice T1 mapping method based on a single-shot inversion-recovery (IR) radial FLASH acquisition and a regularized model-based reconstruction. Methods. Multislice radial k-space data are continuously acquired after a single nonselective inversion pulse using a golden-angle sampling scheme in a spoke-interleaved manner with optimized flip angles. Parameter maps and coil sensitivities of each slice are estimated directly from highly undersampled radial k-space data using a model-based nonlinear inverse reconstruction in conjunction with joint sparsity constraints. The performance of the method has been validated using a numerical and experimental T1 phantom as well as demonstrated for studies of the human ...
To obtain whole-brain high-resolution T <sub>2</sub> maps in 2 minutes by combining sim...
We propose a novel Inversion-Recovery Look-Locker 3D-EPI sequence for rapid T1 mapping. The inherent...
Purpose: To obtain whole-brain high-resolution T2 maps in 2 minutes by combining simultaneous multis...
PURPOSE: To develop a model-based reconstruction technique for single-shot T1 mapping with high spat...
Purpose: To develop a method for T1 mapping at high spatial resolution and for multiple slices. Meth...
Quantitative parameter mapping in MRI is typically performed as a two-step procedure where serial im...
Magnetic Resonance Imaging measurement data used in our paper about "Model-based reconstruction for ...
BACKGROUND: This study develops a model-based myocardial T1 mapping technique with sparsity constrai...
Mapping the longitudinal relaxation time T1 has widespread applications in clinical MRI as it promis...
To develop a novel method for rapid myocardial T1 mapping at high spatial resolution. METHODS: The p...
Mapping the longitudinal relaxation time T1 has widespread applications in clinical MRI as it promis...
The development of a calibrationless parallel imaging method for accelerated simultaneous multi-slic...
Purpose: To develop a free-breathing myocardial T1 mapping technique using inversion-recovery (IR) r...
Mapping the longitudinal relaxation time \(T_1\) has widespread applications in clinical MRI as it p...
Purpose: Magnetic resonance imaging protocols for the assessment of quantitative information suffer ...
To obtain whole-brain high-resolution T <sub>2</sub> maps in 2 minutes by combining sim...
We propose a novel Inversion-Recovery Look-Locker 3D-EPI sequence for rapid T1 mapping. The inherent...
Purpose: To obtain whole-brain high-resolution T2 maps in 2 minutes by combining simultaneous multis...
PURPOSE: To develop a model-based reconstruction technique for single-shot T1 mapping with high spat...
Purpose: To develop a method for T1 mapping at high spatial resolution and for multiple slices. Meth...
Quantitative parameter mapping in MRI is typically performed as a two-step procedure where serial im...
Magnetic Resonance Imaging measurement data used in our paper about "Model-based reconstruction for ...
BACKGROUND: This study develops a model-based myocardial T1 mapping technique with sparsity constrai...
Mapping the longitudinal relaxation time T1 has widespread applications in clinical MRI as it promis...
To develop a novel method for rapid myocardial T1 mapping at high spatial resolution. METHODS: The p...
Mapping the longitudinal relaxation time T1 has widespread applications in clinical MRI as it promis...
The development of a calibrationless parallel imaging method for accelerated simultaneous multi-slic...
Purpose: To develop a free-breathing myocardial T1 mapping technique using inversion-recovery (IR) r...
Mapping the longitudinal relaxation time \(T_1\) has widespread applications in clinical MRI as it p...
Purpose: Magnetic resonance imaging protocols for the assessment of quantitative information suffer ...
To obtain whole-brain high-resolution T <sub>2</sub> maps in 2 minutes by combining sim...
We propose a novel Inversion-Recovery Look-Locker 3D-EPI sequence for rapid T1 mapping. The inherent...
Purpose: To obtain whole-brain high-resolution T2 maps in 2 minutes by combining simultaneous multis...