Model-based reconstruction for T1 mapping using single-shot inversion-recovery radial FLASH

2016 ◽  
Vol 26 (4) ◽  
pp. 254-263 ◽  
Author(s):  
Volkert Roeloffs ◽  
Xiaoqing Wang ◽  
Tilman J. Sumpf ◽  
Markus Untenberger ◽  
Dirk Voit ◽  
...  
Keyword(s):  
T1 Mapping ◽  
Inversion Recovery ◽  
Single Shot ◽  
Model Based

scholarly journals Fast Interleaved Multislice T1 Mapping: Model-Based Reconstruction of Single-Shot Inversion-Recovery Radial FLASH

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaoqing Wang ◽  
Dirk Voit ◽  
Volkert Roeloffs ◽  
Martin Uecker ◽  
Jens Frahm
Keyword(s):  
High Speed ◽  
T1 Mapping ◽  
Inversion Recovery ◽  
Inversion Pulse ◽  
Breath Hold ◽  
Single Shot ◽  
Radial Sampling ◽  
Model Based ◽  
Inverse Reconstruction ◽  
Space Data

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.

Real‐time Triggered RAdial Single‐Shot Inversion recovery for arrhythmia‐insensitive myocardial T1 mapping: motion phantom validation and in vivo comparison

2018 ◽  
Vol 81 (3) ◽  
pp. 1714-1725 ◽  
Author(s):  
Daniel Gensler ◽  
Tim Salinger ◽  
Markus Düring ◽  
Kristina Lorenz ◽  
Roland Jahns ◽  
...  
Keyword(s):  
Real Time ◽  
T1 Mapping ◽  
Inversion Recovery ◽  
Single Shot ◽  
Myocardial T1 ◽  
Motion Phantom ◽  
Phantom Validation

scholarly journals Improvement of Fast Model-Based Acceleration of Parameter Look-Locker T1 Mapping

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5371
Author(s):  
Michał Staniszewski ◽  
Uwe Klose
Keyword(s):  
T1 Mapping ◽  
Region Of Interest ◽  
Computational Time ◽  
Single Shot ◽  
Mean Values ◽  
Model Based ◽  
Fitting Procedure ◽  
Novel Method ◽  
Space Data ◽  
Brain Measurements

Quantitative mapping is desirable in many scientific and clinical magneric resonance imaging (MRI) applications. Recent inverse recovery-look locker sequence enables single-shot T1 mapping with a time of a few seconds but the main computational load is directed into offline reconstruction, which can take from several minutes up to few hours. In this study we proposed improvement of model-based approach for T1-mapping by introduction of two steps fitting procedure. We provided analysis of further reduction of k-space data, which lead us to decrease of computational time and perform simulation of multi-slice development. The region of interest (ROI) analysis of human brain measurements with two different initial models shows that the differences between mean values with respect to a reference approach are in white matter—0.3% and 1.1%, grey matter—0.4% and 1.78% and cerebrospinal fluid—2.8% and 11.1% respectively. With further improvements we were able to decrease the time of computational of single slice to 6.5 min and 23.5 min for different initial models, which has been already not achieved by any other algorithm. In result we obtained an accelerated novel method of model-based image reconstruction in which single iteration can be performed within few seconds on home computer.

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 ◽  
...  
Keyword(s):  
High Resolution ◽  
Iterative Reconstruction ◽  
T1 Mapping ◽  
Inversion Recovery ◽  
Single Shot ◽  
Myocardial T1

scholarly journals Model‐based reconstruction for simultaneous multi‐slice mapping using single‐shot inversion‐recovery radial FLASH

2020 ◽  
Vol 85 (3) ◽  
pp. 1258-1271
Author(s):  
Xiaoqing Wang ◽  
Sebastian Rosenzweig ◽  
Nick Scholand ◽  
H. Christian M. Holme ◽  
Martin Uecker
Keyword(s):  
Inversion Recovery ◽  
Single Shot ◽  
Model Based

scholarly journals Single-shot Multi-slice T1 Mapping at High Spatial Resolution – Inversion-Recovery FLASH with Radial Undersampling and Iterative Reconstruction

2015 ◽  
Vol 9 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Xiaoqing Wang ◽  
Volkert Roeloffs ◽  
K. Dietmar Merboldt ◽  
Dirk Voit ◽  
Sebastian Schätz ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
T1 Mapping ◽  
High Spatial Resolution ◽  
Lattice Relaxation ◽  
Inversion Recovery ◽  
Spin Lattice Relaxation ◽  
Single Shot ◽  
Nonlinear Inversion ◽  
Spin Lattice ◽  
Single Slice

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.

scholarly journals Model-based T1mapping with sparsity constraints using single-shot inversion-recovery radial FLASH

2017 ◽  
Vol 79 (2) ◽  
pp. 730-740 ◽  
Author(s):  
Xiaoqing Wang ◽  
Volkert Roeloffs ◽  
Jakob Klosowski ◽  
Zhengguo Tan ◽  
Dirk Voit ◽  
...  
Keyword(s):  
Inversion Recovery ◽  
Single Shot ◽  
Model Based ◽  
Sparsity Constraints

scholarly journals Evaluation of malignant effusions using MR-based T1 mapping

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
D. Kuetting ◽  
J. Luetkens ◽  
A. Faron ◽  
A. Isaak ◽  
U. Attenberger ◽  
...  
Keyword(s):  
T1 Mapping ◽  
Ex Vivo ◽  
Diagnostic Yield ◽  
Spin Echo ◽  
Relaxation Times ◽  
Inversion Recovery ◽  
Malignant Effusions ◽  
Mapping Techniques ◽  
Set Up ◽  
Post Hoc

AbstractOur aim was to investigate the diagnostic yield of rapid T1-mapping for the differentiation of malignant and non-malignant effusions in an ex-vivo set up. T1-mapping was performed with a fast modified Look-Locker inversion-recovery (MOLLI) acquisition and a combined turbo spin-echo and inversion-recovery sequence (TMIX) as reference. A total of 13 titrated albumin-solutions as well as 48 samples (29 ascites/pleural effusions from patients with malignancy; 19 from patients without malignancy) were examined. Samples were classified as malignant-positive histology, malignant-negative histology and non-malignant negative histology. In phantom analysis both mapping techniques correlated with albumin-content (MOLLI: r = − 0.97, TMIX: r = − 0.98). MOLLI T1 relaxation times were shorter in malignancy-positive histology fluids (2237 ± 137 ms) than in malignancy-negative histology fluids (2423 ± 357 ms) as well as than in non-malignant-negative histology fluids (2651 ± 139 ms); post hoc test for all intergroup comparisons: < 0.05. ROC analysis for differentiation between malignant and non-malignant effusions (malignant positive histology vs. all other) showed an (AUC) of 0.89 (95% CI 0.77–0.96). T1 mapping allows for non-invasive differentiation of malignant and non-malignant effusions in an ex-vivo set up.

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