Nan Wang1, Tianle Cao1,2, Fei Han3, Yibin Xie1, Xiaodong Zhong3, Sen Ma1, Alan Kwan1,4, Zhaoyang Fan1,5, Hui Han1, Xiaoming Bi3, Mazen Noureddin6, Vibhas Deshpande7, Anthony G Christodoulou1,2, Debiao Li1,2. 1. Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA. 2. Department of Bioengineering, University of California, Los Angeles, California, USA. 3. MR Research and Development, Siemens Medical Solutions USA, Inc., Los Angeles, California, USA. 4. Department of Imaging and Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA. 5. Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA. 6. Karsh Division of Gastroenterology & Hepatology, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California, USA. 7. MR Research and Development, Siemens Medical Solutions USA, Inc., Austin, Texas, USA.
Abstract
PURPOSE: To develop a 3D multitasking multi-echo (MT-ME) technique for the comprehensive characterization of liver tissues with 5-min free-breathing acquisition; whole-liver coverage; a spatial resolution of 1.5 × 1.5 × 6 mm3 ; and simultaneous quantification of T1 , water-specific T1 (T1w ), proton density fat fraction (PDFF), and R 2 ∗ . METHODS: Six-echo bipolar spoiled gradient echo readouts following inversion recovery preparation was performed to generate T1 , water/fat, and R 2 ∗ contrast. MR multitasking was used to reconstruct the MT-ME images with 3 spatial dimensions: 1 T1 recovery dimension, 1 multi-echo dimension, and 1 respiratory dimension. A basis function-based approach was developed for T1w quantification, followed by the estimation of R 2 ∗ and T1 -corrected PDFF. The intrasession repeatability and agreement against references of MT-ME measurements were tested on a phantom and 15 clinically healthy subjects. In addition, 4 patients with confirmed liver diseases were recruited, and the agreement between MT-ME measurements and references was assessed. RESULTS: MT-ME produced high-quality, coregistered T1 , T1w , PDFF, and R 2 ∗ maps with good intrasession repeatability and substantial agreement with references on phantom and human studies. The intra-class coefficients of T1 , T1w , PDFF, and R 2 ∗ from the repeat MT-ME measurements on clinically healthy subjects were 0.989, 0.990, 0.999, and 0.988, respectively. The intra-class coefficients of T1 , PDFF, and R 2 ∗ between the MT-ME and reference measurements were 0.924, 0.987, and 0.975 in healthy subjects and 0.980, 0.999, and 0.998 in patients. The T1w was independent to PDFF (R = -0.029, P = .904). CONCLUSION: The proposed MT-ME technique quantifies T1 , T1w , PDFF, and R 2 ∗ simultaneously and is clinically promising for the comprehensive characterization of liver tissue properties.
PURPOSE: To develop a 3D multitasking multi-echo (MT-ME) technique for the comprehensive characterization of liver tissues with 5-min free-breathing acquisition; whole-liver coverage; a spatial resolution of 1.5 × 1.5 × 6 mm3 ; and simultaneous quantification of T1 , water-specific T1 (T1w ), proton density fat fraction (PDFF), and R 2 ∗ . METHODS: Six-echo bipolar spoiled gradient echo readouts following inversion recovery preparation was performed to generate T1 , water/fat, and R 2 ∗ contrast. MR multitasking was used to reconstruct the MT-ME images with 3 spatial dimensions: 1 T1 recovery dimension, 1 multi-echo dimension, and 1 respiratory dimension. A basis function-based approach was developed for T1w quantification, followed by the estimation of R 2 ∗ and T1 -corrected PDFF. The intrasession repeatability and agreement against references of MT-ME measurements were tested on a phantom and 15 clinically healthy subjects. In addition, 4 patients with confirmed liver diseases were recruited, and the agreement between MT-ME measurements and references was assessed. RESULTS: MT-ME produced high-quality, coregistered T1 , T1w , PDFF, and R 2 ∗ maps with good intrasession repeatability and substantial agreement with references on phantom and human studies. The intra-class coefficients of T1 , T1w , PDFF, and R 2 ∗ from the repeat MT-ME measurements on clinically healthy subjects were 0.989, 0.990, 0.999, and 0.988, respectively. The intra-class coefficients of T1 , PDFF, and R 2 ∗ between the MT-ME and reference measurements were 0.924, 0.987, and 0.975 in healthy subjects and 0.980, 0.999, and 0.998 in patients. The T1w was independent to PDFF (R = -0.029, P = .904). CONCLUSION: The proposed MT-ME technique quantifies T1 , T1w , PDFF, and R 2 ∗ simultaneously and is clinically promising for the comprehensive characterization of liver tissue properties.
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