scholarly journals High-resolution myocardial T1 mapping using single-shot inversion recovery fast low-angle shot MRI with radial undersampling and iterative reconstruction

2016 ◽  
Vol 89 (1068) ◽  
pp. 20160255 ◽  
Author(s):  
Xiaoqing Wang ◽  
Arun A Joseph ◽  
Oleksandr Kalentev ◽  
Klaus-Dietmar Merboldt ◽  
Dirk Voit ◽  
...  
2018 ◽  
Vol 81 (3) ◽  
pp. 1714-1725 ◽  
Author(s):  
Daniel Gensler ◽  
Tim Salinger ◽  
Markus Düring ◽  
Kristina Lorenz ◽  
Roland Jahns ◽  
...  

Author(s):  
Peter Kellman ◽  
W Patricia Bandettini ◽  
Christine Mancini ◽  
Sophia Hammer-Hansen ◽  
Michael S Hansen ◽  
...  

2016 ◽  
Vol 77 (4) ◽  
pp. 1495-1504 ◽  
Author(s):  
Jiaxin Shao ◽  
Shams Rashid ◽  
Pierangelo Renella ◽  
Kim-Lien Nguyen ◽  
Peng Hu

2016 ◽  
Vol 26 (4) ◽  
pp. 254-263 ◽  
Author(s):  
Volkert Roeloffs ◽  
Xiaoqing Wang ◽  
Tilman J. Sumpf ◽  
Markus Untenberger ◽  
Dirk Voit ◽  
...  

2015 ◽  
Vol 9 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Xiaoqing Wang ◽  
Volkert Roeloffs ◽  
K. Dietmar Merboldt ◽  
Dirk Voit ◽  
Sebastian Schätz ◽  
...  

Purpose: To develop a method for T1 mapping at high spatial resolution and for multiple slices. Methods: The proposed method emerges as a single-shot inversion-recovery experiment which covers the entire spin-lattice relaxation process by serial acquisitions of highly undersampled radial FLASH images, either in single-slice or multi-slice mode. Serial image reconstructions are performed in time-reversed order and first involve regularized nonlinear inversion (NLINV) to estimate optimum coil sensitivity profiles. Subsequently, the coil profiles are fixed for the calculation of differently T1-weighted frames and the resulting linear inverse problem is solved by a conjugate gradient (CG) technique. T1 values are obtained by pixelwise fitting with a Deichmann correction modified for multi-slice applications. Results: T1 accuracy was validated for a reference phantom. For human brain, T1 maps were obtained at 0.5 mm resolution for single-slice acquisitions and at 0.75 mm resolution for up to 5 simultaneous slices (5 mm thickness). Corresponding T1 maps of the liver were acquired at 1 mm and 1.5 mm resolution, respectively. All T1 values were in agreement with literature data. Conclusion: Inversion-recovery sequences with highly undersampled radial FLASH images and NLINV/CG reconstruction allow for fast, robust and accurate T1 mapping at high spatial resolution and for multiple slices.


2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaoqing Wang ◽  
Dirk Voit ◽  
Volkert Roeloffs ◽  
Martin Uecker ◽  
Jens Frahm

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 brain and liver at 3T. Results. The proposed method allows for 7 simultaneous T1 maps of the brain at 0.5 × 0.5 × 4 mm3 resolution within a single IR experiment of 4 s duration. Phantom studies confirm similar accuracy and precision as obtained for a single-slice acquisition. For abdominal applications, the proposed method yields three simultaneous T1 maps at 1.25 × 1.25 × 6 mm3 resolution within a 4 s breath hold. Conclusion. 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.


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