Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
570-04-189 ISMRM Abstract

Liver PDFF and water T1 and T2 mapping in a single breath hold using multi-echo phase-cycled bSSFP

Primary: Contrast Mechanisms - Fat & Fat/Water Separation
Secondary: Body - Liver
570-04-189 · Quantitative and Diffusion MRI of the Liver · Wednesday, 13 May, 9:15 AM–10:10 AM · Traditional Posters | Exhibition Hall
Keywords: Liver Pulseq Phase-cycled bSSFP T1 and T2 mapping Water fat separation
Accepted
Joseph G Woods1,2, Nils Plähn1,2,3, Matteo Tagliabue1,2,3, Berk C Acikgoz 1,2,3, Eva S Peper1,2, Naik Vietti-Violi4, Verena Obmann1, Adrian Huber1, Roland Kreis2,5, Jessica Bastiaansen1,2
1Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Switzerland
2Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
3Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
4Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
5Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Switzerland
Presenting Author: Berk C Acikgoz

Synopsis

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References

1. Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease—Meta‐analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016;64(1):73. doi:10.1002/hep.28431 [doi]
2. Reeder SB, Hu HH, Sirlin CB. Proton Density Fat-Fraction: A Standardized MR-Based Biomarker of Tissue Fat Concentration. J Magn Reson Imaging JMRI. 2012;36(5):1011. doi:10.1002/jmri.23741 [doi]
3. Martino MD, Pacifico L, Bezzi M, et al. Comparison of magnetic resonance spectroscopy, proton density fat fraction and histological analysis in the quantification of liver steatosis in children and adolescents. World J Gastroenterol. 2016;22(39):8812. doi:10.3748/wjg.v22.i39.8812 [doi]
4. Hernando D, Sharma SD, Aliyari Ghasabeh M, et al. Multisite, multivendor validation of the accuracy and reproducibility of proton-density fat-fraction quantification at 1.5T and 3T using a fat–water phantom. Magn Reson Med. 2017;77(4):1516-1524. doi:10.1002/mrm.26228 [doi]
5. Hong CW, Mamidipalli A, Hooker JC, et al. MRI proton density fat fraction is robust across the biologically plausible range of triglyceride spectra in adults with nonalcoholic steatohepatitis. J Magn Reson Imaging. 2018;47(4):995-1002. doi:10.1002/jmri.25845 [doi]
6. Bray TJ, Chouhan MD, Punwani S, Bainbridge A, Hall-Craggs MA. Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology. Br J Radiol. 2018;91(1089):20170344. doi:10.1259/bjr.20170344 [doi]
7. Yokoo T, Serai SD, Pirasteh A, et al. Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis. Radiology. 2018;286(2):486-498. doi:10.1148/radiol.2017170550 [doi]
8. Kellman P, Aletras AH, Mancini C, McVeigh ER, Arai AE. T2-prepared SSFP improves diagnostic confidence in edema imaging in acute myocardial infarction compared to turbo spin echo. Magn Reson Med. 2007;57(5):891-897. doi:10.1002/mrm.21215 [doi]
9. Messroghli DR, Greiser A, Fröhlich M, Dietz R, Schulz-Menger J. Optimization and validation of a fully-integrated pulse sequence for modified look-locker inversion-recovery (MOLLI) T1 mapping of the heart. J Magn Reson Imaging. 2007;26(4):1081-1086. doi:10.1002/jmri.21119 [doi]
10. Fellner C, Nickel MD, Kannengiesser S, et al. Water–Fat Separated T1 Mapping in the Liver and Correlation to Hepatic Fat Fraction. Diagnostics. 2023;13(2):201. doi:10.3390/diagnostics13020201 [doi]
11. Le Y, Dale B, Akisik F, Koons K, Lin C. Improved T1, contrast concentration, and pharmacokinetic parameter quantification in the presence of fat with two-point dixon for dynamic contrast-enhanced magnetic resonance imaging. Magn Reson Med. 2016;75(4):1677-1684. doi:10.1002/mrm.25639 [doi]
12. Mozes FE, Tunnicliffe EM, Pavlides M, Robson MD. Influence of fat on liver T1 measurements using modified Look–Locker inversion recovery (MOLLI) methods at 3T. J Magn Reson Imaging. 2016;44(1):105-111. doi:10.1002/jmri.25146 [doi]
13. Feng L, Liu F, Soultanidis G, et al. Magnetization-prepared GRASP MRI for rapid 3D T1 mapping and fat/water-separated T1 mapping. Magn Reson Med. 2021;86(1):97-114. doi:10.1002/mrm.28679 [doi]
14. Roberts NT, Tamada D, Muslu Y, Hernando D, Reeder SB. Confounder-corrected mapping in the liver through simultaneous estimation of , PDFF, , and in a single breath-hold acquisition. Magn Reson Med. 2023;89(6):2186-2203. doi:10.1002/mrm.29590 [doi]
15. Higashi M, Tanabe M, Yamane M, et al. Impact of fat on the apparent T1 value of the liver: assessment by water-only derived T1 mapping. Eur Radiol. 2023;33(10):6844-6851. doi:10.1007/s00330-023-10052-0 [doi]
16. Mozes FE, Tunnicliffe EM, Moolla A, et al. Mapping tissue water T1 in the liver using the MOLLI T1 method in the presence of fat, iron and B0 inhomogeneity. NMR Biomed. 2019;32(2):e4030. doi:10.1002/nbm.4030 [doi]
17. Nguyen D, Bieri O. Motion-insensitive rapid configuration relaxometry. Magn Reson Med. 2017;78(2):518-526. doi:10.1002/mrm.26384 [doi]
18. Shcherbakova Y, van den Berg CAT, Moonen CTW, Bartels LW. PLANET: An ellipse fitting approach for simultaneous T1 and T2 mapping using phase-cycled balanced steady-state free precession. Magn Reson Med. 2018;79(2):711-722. doi:10.1002/mrm.26717 [doi]
19. Plähn NMJ, Safarkhanlo Y, Açikgöz BC, et al. ORACLE: An analytical approach for T1, T2, proton density, and off-resonance mapping with phase-cycled balanced steady-state free precession. Magn Reson Med. 2025;93(4):1657-1673. doi:10.1002/mrm.30388 [doi]
20. Plähn NMJ, Poli S, Peper ES, et al. Getting the phase consistent: The importance of phase description in balanced steady-state free precession MRI of multi-compartment systems. Magn Reson Med. 2024;92(1):215-225. doi:10.1002/mrm.30033 [doi]
21. Quist B, Hargreaves BA, Daniel BL, Saranathan M. Balanced SSFP Dixon imaging with banding-artifact reduction at 3 Tesla. Magn Reson Med. 2015;74(3):706-715. doi:10.1002/mrm.25449 [doi]
22. Huang TY, Chung HW, Wang FN, Ko CW, Chen CY. Fat and water separation in balanced steady-state free precession using the Dixon method. Magn Reson Med. 2004;51(2):243-247. doi:10.1002/mrm.10686 [doi]
23. Bieri O, Weidensteiner C, Ganter C. Robust T2 estimation with balanced steady state free precession. Magn Reson Med. 2024;91(6):2257-2265. doi:10.1002/mrm.30037 [doi]
24. Hamilton G, Yokoo T, Bydder M, et al. In vivo characterization of the liver fat 1H MR spectrum. NMR Biomed. 2011;24(7):784-790. doi:10.1002/nbm.1622 [doi]
25. Layton KJ, Kroboth S, Jia F, et al. Pulseq: A rapid and hardware-independent pulse sequence prototyping framework. Magn Reson Med. 2017;77(4):1544-1552. doi:10.1002/mrm.26235 [doi]
26. Ravi K, Geethanath S, Vaughan J. PyPulseq: A Python Package for MRI Pulse Sequence Design. J Open Source Softw. 2019;4(42):1725. doi:10.21105/joss.01725 [doi]
27. Chong DGQ, Kreis R, Bolliger CS, Boesch C, Slotboom J. Two-dimensional linear-combination model fitting of magnetic resonance spectra to define the macromolecule baseline using FiTAID, a Fitting Tool for Arrays of Interrelated Datasets. Magn Reson Mater Phys Biol Med. 2011;24(3):147-164. doi:10.1007/s10334-011-0246-y [doi]
28. Hamilton G, Middleton MS, Hooker JC, et al. In vivo breath-hold 1H MRS simultaneous estimation of liver proton density fat fraction, and T1 and T2 of water and fat, with a multi-TR, multi-TE sequence. J Magn Reson Imaging. 2015;42(6):1538-1543. doi:10.1002/jmri.24946 [doi]
29. Staehle F, Leupold J, Hennig J, Markl M. Off-resonance-dependent slice profile effects in balanced steady-state free precession imaging. Magn Reson Med. 2008;59(5):1197-1202. doi:10.1002/mrm.21557 [doi]
30. Bieri O, Scheffler K. On the origin of apparent low tissue signals in balanced SSFP. Magn Reson Med. 2006;56(5):1067-1074. doi:10.1002/mrm.21056 [doi]

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http://echo.ismrm.org/p/ISMRM2026/570-04-189