Literature DB >> 34418152

Free-breathing multitasking multi-echo MRI for whole-liver water-specific T1 , proton density fat fraction, and R 2 quantification.

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.   

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.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MR multitasking; free-breathing acquisition; liver T1/PDFF/zzm321990 zzm321990 Rzzm321990 2zzm321990 zzm321990 zzm321990 zzm321990 mapping; low-rank tensor; water-specific T1

Mesh:

Substances:

Year:  2021        PMID: 34418152      PMCID: PMC8616772          DOI: 10.1002/mrm.28970

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  62 in total

1.  Saturation recovery single-shot acquisition (SASHA) for myocardial T(1) mapping.

Authors:  Kelvin Chow; Jacqueline A Flewitt; Jordin D Green; Joseph J Pagano; Matthias G Friedrich; Richard B Thompson
Journal:  Magn Reson Med       Date:  2013-07-23       Impact factor: 4.668

2.  Correlation between incidental fat deposition in the liver and pancreas in asymptomatic individuals.

Authors:  Mounes Aliyari Ghasabeh; Mohammadreza Shaghaghi; Pegah Khoshpouri; Li Pan; Ankur Pandy; Pallavi Pandy; Xiaodong Zhong; Stephan Kannengiesser; Ihab R Kamel
Journal:  Abdom Radiol (NY)       Date:  2020-01

3.  Multi-parametric liver tissue characterization using MR fingerprinting: Simultaneous T1 , T2 , T2 *, and fat fraction mapping.

Authors:  Olivier Jaubert; Cristobal Arrieta; Gastão Cruz; Aurélien Bustin; Torben Schneider; Georgios Georgiopoulos; Pier-Giorgio Masci; Carlos Sing-Long; Rene M Botnar; Claudia Prieto
Journal:  Magn Reson Med       Date:  2020-05-13       Impact factor: 4.668

4.  Cardiac iron determines cardiac T2*, T2, and T1 in the gerbil model of iron cardiomyopathy.

Authors:  John C Wood; Maya Otto-Duessel; Michelle Aguilar; Hanspeter Nick; Marvin D Nelson; Thomas D Coates; Harvey Pollack; Rex Moats
Journal:  Circulation       Date:  2005-07-18       Impact factor: 29.690

5.  A model for hepatic fibrosis: the competing effects of cell loss and iron on shortened modified Look-Locker inversion recovery T1 (shMOLLI-T1 ) in the liver.

Authors:  Elizabeth M Tunnicliffe; Rajarshi Banerjee; Michael Pavlides; Stefan Neubauer; Matthew D Robson
Journal:  J Magn Reson Imaging       Date:  2016-07-23       Impact factor: 4.813

6.  Simultaneous proton density fat-fraction and R 2 imaging with water-specific T1 mapping (PROFIT1 ): application in liver.

Authors:  Richard B Thompson; Kelvin Chow; Diana Mager; Joseph J Pagano; Justin Grenier
Journal:  Magn Reson Med       Date:  2020-08-04       Impact factor: 4.668

Review 7.  Liver cirrhosis.

Authors:  Detlef Schuppan; Nezam H Afdhal
Journal:  Lancet       Date:  2008-03-08       Impact factor: 79.321

8.  Dual-excitation flip-angle simultaneous cine and T1 mapping using spiral acquisition with respiratory and cardiac self-gating.

Authors:  Ruixi Zhou; Daniel S Weller; Yang Yang; Junyu Wang; Haris Jeelani; John P Mugler; Michael Salerno
Journal:  Magn Reson Med       Date:  2021-02-15       Impact factor: 3.737

9.  Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver.

Authors:  Velicia Bachtiar; Matthew D Kelly; Henry R Wilman; Jaco Jacobs; Rexford Newbould; Catherine J Kelly; Michael L Gyngell; Katherine E Groves; Andy McKay; Amy H Herlihy; Carolina C Fernandes; Mark Halberstadt; Marion Maguire; Naomi Jayaratne; Sophia Linden; Stefan Neubauer; Rajarshi Banerjee
Journal:  PLoS One       Date:  2019-04-10       Impact factor: 3.240

10.  Mapping tissue water T1 in the liver using the MOLLI T1 method in the presence of fat, iron and B0 inhomogeneity.

Authors:  Ferenc E Mozes; Elizabeth M Tunnicliffe; Ahmad Moolla; Thomas Marjot; Christina K Levick; Michael Pavlides; Matthew D Robson
Journal:  NMR Biomed       Date:  2018-11-21       Impact factor: 4.044

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  2 in total

1.  Free-breathing, non-ECG, simultaneous myocardial T1 , T2 , T2 *, and fat-fraction mapping with motion-resolved cardiovascular MR multitasking.

Authors:  Tianle Cao; Nan Wang; Alan C Kwan; Hsu-Lei Lee; Xianglun Mao; Yibin Xie; Kim-Lien Nguyen; Caroline M Colbert; Fei Han; Pei Han; Hui Han; Anthony G Christodoulou; Debiao Li
Journal:  Magn Reson Med       Date:  2022-06-17       Impact factor: 3.737

Review 2.  Golden-Angle Radial MRI: Basics, Advances, and Applications.

Authors:  Li Feng
Journal:  J Magn Reson Imaging       Date:  2022-04-09       Impact factor: 5.119

  2 in total

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