Free‐breathing multitasking multi‐echo MRI for whole‐liver water‐specific T1, proton density fat fraction, and R2∗ quantification
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 den...
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| Published in | Magnetic resonance in medicine Vol. 87; no. 1; pp. 120 - 137 |
|---|---|
| Main Authors | , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hoboken
Wiley Subscription Services, Inc
01.01.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0740-3194 1522-2594 1522-2594 |
| DOI | 10.1002/mrm.28970 |
Cover
| 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 R2∗.
Methods
Six‐echo bipolar spoiled gradient echo readouts following inversion recovery preparation was performed to generate T1, water/fat, and R2∗ 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 R2∗ 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 R2∗ maps with good intrasession repeatability and substantial agreement with references on phantom and human studies. The intra‐class coefficients of T1, T1w, PDFF, and R2∗ 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 R2∗ 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 R2∗ simultaneously and is clinically promising for the comprehensive characterization of liver tissue properties. |
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| AbstractList | 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 R2∗.
Methods
Six‐echo bipolar spoiled gradient echo readouts following inversion recovery preparation was performed to generate T1, water/fat, and R2∗ 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 R2∗ 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 R2∗ maps with good intrasession repeatability and substantial agreement with references on phantom and human studies. The intra‐class coefficients of T1, T1w, PDFF, and R2∗ 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 R2∗ 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 R2∗ simultaneously and is clinically promising for the comprehensive characterization of liver tissue properties. 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 R2∗ .PURPOSETo 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 R2∗ .Six-echo bipolar spoiled gradient echo readouts following inversion recovery preparation was performed to generate T1 , water/fat, and R2∗ 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 R2∗ 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.METHODSSix-echo bipolar spoiled gradient echo readouts following inversion recovery preparation was performed to generate T1 , water/fat, and R2∗ 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 R2∗ 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.MT-ME produced high-quality, coregistered T1 , T1w , PDFF, and R2∗ maps with good intrasession repeatability and substantial agreement with references on phantom and human studies. The intra-class coefficients of T1 , T1w , PDFF, and R2∗ 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 R2∗ 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).RESULTSMT-ME produced high-quality, coregistered T1 , T1w , PDFF, and R2∗ maps with good intrasession repeatability and substantial agreement with references on phantom and human studies. The intra-class coefficients of T1 , T1w , PDFF, and R2∗ 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 R2∗ 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).The proposed MT-ME technique quantifies T1 , T1w , PDFF, and R2∗ simultaneously and is clinically promising for the comprehensive characterization of liver tissue properties.CONCLUSIONThe proposed MT-ME technique quantifies T1 , T1w , PDFF, and R2∗ simultaneously and is clinically promising for the comprehensive characterization of liver tissue properties. PurposeTo 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 R2∗.MethodsSix‐echo bipolar spoiled gradient echo readouts following inversion recovery preparation was performed to generate T1, water/fat, and R2∗ 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 R2∗ 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.ResultsMT‐ME produced high‐quality, coregistered T1, T1w, PDFF, and R2∗ maps with good intrasession repeatability and substantial agreement with references on phantom and human studies. The intra‐class coefficients of T1, T1w, PDFF, and R2∗ 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 R2∗ 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).ConclusionThe proposed MT‐ME technique quantifies T1, T1w, PDFF, and R2∗ simultaneously and is clinically promising for the comprehensive characterization of liver tissue properties. |
| Author | Han, Fei Cao, Tianle Wang, Nan Xie, Yibin Christodoulou, Anthony G. Fan, Zhaoyang Li, Debiao Zhong, Xiaodong Kwan, Alan Han, Hui Ma, Sen Deshpande, Vibhas Bi, Xiaoming Noureddin, Mazen |
| AuthorAffiliation | 4. Departments of Imaging and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA 6. Karsh Division of Gastroenterology & Hepatology, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA 7. MR Research and Development, Siemens Medical Solutions USA, Inc., Austin, TX, USA 2. Department of Bioengineering, University of California, Los Angeles, CA, USA 3. MR Research and Development, Siemens Medical Solutions USA, Inc., Los Angeles, CA, USA 1. Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA 5. Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA |
| AuthorAffiliation_xml | – name: 7. MR Research and Development, Siemens Medical Solutions USA, Inc., Austin, TX, USA – name: 3. MR Research and Development, Siemens Medical Solutions USA, Inc., Los Angeles, CA, USA – name: 1. Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA – name: 4. Departments of Imaging and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA – name: 5. Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA – name: 2. Department of Bioengineering, University of California, Los Angeles, CA, USA – name: 6. Karsh Division of Gastroenterology & Hepatology, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA |
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| Copyright | 2021 International Society for Magnetic Resonance in Medicine 2021 International Society for Magnetic Resonance in Medicine. |
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| Notes | Funding information ) Anthony G. Christodoulou and Debiao Li Contributed equally to this work. This work was supported by the National Institutes of Health (NIH), grant 1R01EB028146; and Doris Duke Charitable Foundation (DDCF), grant 2020059 (to a.k ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Author Anthony G. Christodoulou and Author Debiao Li Contributed equally to this work |
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To develop a 3D multitasking multi‐echo (MT‐ME) technique for the comprehensive characterization of liver tissues with 5‐min free‐breathing... PurposeTo develop a 3D multitasking multi‐echo (MT‐ME) technique for the comprehensive characterization of liver tissues with 5‐min free‐breathing acquisition;... To develop a 3D multitasking multi-echo (MT-ME) technique for the comprehensive characterization of liver tissues with 5-min free-breathing acquisition;... |
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| SubjectTerms | Basis functions Breathing free‐breathing acquisition Image contrast Image reconstruction Liver Liver diseases liver T1/PDFF/R2∗ mapping low‐rank tensor Magnetic resonance imaging MR multitasking Multitasking Proton density (concentration) Recovery Reproducibility Respiration Spatial discrimination Spatial resolution water‐specific T1 |
| Title | Free‐breathing multitasking multi‐echo MRI for whole‐liver water‐specific T1, proton density fat fraction, and R2∗ quantification |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fmrm.28970 https://www.proquest.com/docview/2601589614 https://www.proquest.com/docview/2563421571 https://pubmed.ncbi.nlm.nih.gov/PMC8616772 |
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