Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
302-03-010 ISMRM Abstract

Towards Motion-Robust, High-SNR Free-Breathing PDFF Mapping: Evaluation in Vertebral Bone Marrow, Paraspinal Muscle, Liver

Accepted
Utsav Shrestha1, Nathan T Roberts 2, Jiayi Tang1,3, Amirhossein Roshanshad1, Felix Schön1,4, Julius F Heidenreich1,5, Arnaud Guidon2, Scott B Reeder1,3,6,7,8, Diego Hernando1,3,6,9
1Department of Radiology, University of Wisconsin - Madison, Madison, United States of America
2GE HealthCare, Waukesha, United States of America
3Department of Medical Physics, University of Wisconsin - Madison, Madison, United States of America
4Institute and Polyclinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus Dresden, TU Dresden, Dresden, Germany
5Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany
6Department of Biomedical Engineering, University of Wisconsin - Madison, Madison, United States of America
7Department of Medicine, University of Wisconsin - Madison, Madison, United States of America
8Department of Emergency Medicine, University of Wisconsin - Madison, Madison, United States of America
9Department of Electrical and Computer Engineering, University of Wisconsin - Madison, Madison, United States of America
Presenting Author: Nathan T Roberts

Synopsis

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References

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2. 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]
3. Engelke K, Chaudry O, Gast L, et al. Magnetic resonance imaging techniques for the quantitative analysis of skeletal muscle: State of the art. J Orthop Translat. 2023;42:57-72. doi:10.1016/j.jot.2023.07.005 [doi]
4. Karampinos DC, Ruschke S, Dieckmeyer M, et al. Quantitative MRI and spectroscopy of bone marrow. Journal of Magnetic Resonance Imaging. 2018;47(2):332-353. doi:10.1002/jmri.25769 [doi]
5. Tang J, Tamada D, do Vale Souza R, et al. Optimized motion-insensitive PDFF mapping of the liver. Magn Reson Med. 2025. doi:10.1002/mrm.70047 [doi]
6. Heidenreich JF, Tang J, Tamada D, et al. Motion-Insensitive Flip Angle Modulated Liver Proton Density Fat-Fraction and R2* Mapping During Free-Breathing MRI in a Clinical Setting. Journal of Magnetic Resonance Imaging. November 2025. doi:10.1002/jmri.70033 [doi]
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8. Wang X, Ma J, Bhosale P, et al. Novel deep learning-based noise reduction technique for prostate magnetic resonance imaging. Abdominal Radiology. 2021;46(7):3378-3386. doi:10.1007/s00261-021-02964-6 [doi]
9. Kim SH, Choi YH, Lee JS, et al. Deep learning reconstruction in pediatric brain MRI: comparison of image quality with conventional T2-weighted MRI. Neuroradiology. 2023;65(1):207-214. doi:10.1007/s00234-022-03053-1 [doi]
10. Boesch C, Slotboom J, Hoppeler H, Kreis R. In vivo determination of intra-myocellular lipids in human muscle by means of localized 1H-MR-spectroscopy. Magn Reson Med. 1997;37(4):484-493. doi:10.1002/mrm.1910370403 [doi]
11. Karampinos DC, Ruschke S, Dieckmeyer M, et al. Modeling of T2* decay in vertebral bone marrow fat quantification. NMR Biomed. 2015;28(11):1535-1542. doi:10.1002/nbm.3420 [doi]

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