Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Beyond Protons: Advances in Multinuclear and Hyperpolarized MRI

Beyond Protons: Advances in Multinuclear and Hyperpolarized MRI

Oral

Contrast Mechanisms

Thursday, 14 May 2026

Auditorium 2

13:40 - 15:30

Moderators: Yongxian Qian & Anne Adlung

Session Number: 606-02

CME/CE Credit Available

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This session highlights recent advances in multinuclear and hyperpolarized MRI spanning technical development and emerging applications.

13:40		606-02-001. Introduction Anne Adlung Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, United States of America
13:51		606-02-002. On the Origin of the Brain HOD Deuterium MR Signal Following Administration of Deuterated Metabolic Substrate Joseph Ackerman, Xia Ge, Nick Rensing, Jeffrey Neil, Liu Lin Thio, Joel Garbow Washington University School of Medicine, St. Louis, United States of America Impact: Production of semi-heavy water (HOD) from deuterated substrates provides a potential tissue-specific biomarker of TCA cycle activity via deuterium MR in vivo. Interpreting HOD concentrations as resulting from local tissue metabolism requires control experiments assessing HOD contributions from body metabolism.
14:02		606-02-003. High-Resolution Deuterium Metabolic Imaging via Self-Supervised Denoising with Low-Rank Priors From Repeated Acquisitions Gang Chen, Xinjie Liu, Hongkang Chu, Shasha Wang, Peng Sun, Lucio Frydman, Michal Neeman, Xin Zhou, Maili Liu, Chaoyang Liu, Qingjia Bao Innovation Academy for Precision Measurement Science and Technology,CAS, Wuhan, China Impact: Building on DMI’s repeated-acquisition property, this study constructs a self-supervised training scheme and integrates low-rank prior-constrained reconstruction. With a markedly reduced number of averages, it achieves high spatiotemporal-resolution DMI, laying the groundwork for clinical uses such as tumor metabolic-dynamics monitoring.
14:13		606-02-004. Treatment response assessment in patients with pancreatic ductal adenocarcinoma using hyperpolarized 13C metabolic MRI Minjie Zhu, Hsin-Yu Chen, Tanner Nickles, Robert Bok, Kimberly Okamoto, Andrew Ko, Peder Larson, Zhen Wang, Jeremy Gordon University Of California, San Francisco (UCSF), United States of America Impact: HP ¹³C metabolic MRI provides tumor metabolic information that has the potential to predict treatment response in patients with pancreatic ductal adenocarcinoma (PDA).
14:24		606-02-005. A Deep-Learning-Based Label-Free No-Reference Image Quality Assessment Metric Evaluated with Proton and Sodium MRI Shuaiyu Yuan, Tristan Whitmarsh, Dimitri Kessler, Otso Arponen, Mary McLean, Gabrielle Baxter, Frank Riemer, Aneurin Kennerley, William Brackenbury, Fiona Gilbert, Joshua Kaggie University of Cambridge, Cambridge, United Kingdom Impact: The proposed metric provides an objective and reliable label-free tool to evaluate the MR image quality without the need of references. This no-reference quality assessment is valuable in medical imaging, where high-quality baseline datasets may be limited or non-existent.
14:35		606-02-006. Repeatability of metabolic imaging with hyperpolarized pyruvate: back-to-back neuroimaging and blood analysis Jun Chen, Sung-Han Lin, Jessica Sudderth, Kelley Derner, Crystal Harrison, Maheen Zaidi, Jeannie Baxter, Jeff Liticker, Zohreh Erfani, Craig Malloy, Marco Pinho, Ralf DeBerardinis, Jae Hong Park University of Texas Southwestern Medical Center, Dallas, United States of America Impact: We inspected ¹³C enrichment in circulating pyruvate and lactate immediately after pyruvate bolus and demonstrated repeatability of HP pyruvate in neurometabolic imaging. The reproducible blood and brain metabolic measurements in humans support multi-injection protocols in ¹³C MRI studies.
14:46		606-02-007. Mapping the Tissue Sodium Concentration in the Human Torso by Applying 23Na and 1H MRI at 7T in a Large Field-of-View Anna Scheipers, Jana Losch, Johannes Grimm, Christian Neelsen, Stephan Orzada, Thomas Fiedler, Armin NAGEL, Sebastian Schmitter, Mark Ladd, Tanja Platt German Cancer Research Center (DKFZ), Heidelberg, Germany Impact: This work gives an overview of the apparent tissue sodium concentration (aTSC) in different abdominal tissues at 7T. It contributes to establishing the range for healthy aTSC values, which is a prerequisite to use the aTSC as a diagnostic tool.
14:57		606-02-008. Inter-site reproducibility of sodium quantification using a commercially available 23Na MRI sequence in the brain Louise Rosenqvist, Ben Prestwich, Samuel Rot, Claudia Gandini Wheeler-Kingshott, Hampus Olsson, Matthew Clemence, Bhavana Solanky, Sofia Nordberg, Isabella Björkman-Burtscher, Susan Francis, Maria Ljungberg * Co-first author, Sweden Impact: The inter-site reproducibility of brain ²³Na MRI collected using a commercially available pulse sequence on a single MR vendor is evaluated, including the effects of B₁correction on sodium quantification. This is a foundational step toward standardizing multicenter ²³Na MRI.
15:08		606-02-009. High-resolution whole-body deuterium metabolic imaging using 2H-MRSI with concentric ring trajectories at 7T Fabian Niess, Bernhard Strasser, Lukas Hingerl, Viola Bader, Sabina Frese, Lorenz Pfleger, Anna Duguid, Aaron Osburg, Hauke Fischer, Martin Krssak, Thomas Scherer, Marius Mayerhöfer, Pascal Baltzer, Wolfgang Bogner Medical University of Vienna, Vienna, Austria Impact: Near whole-body ²H-DMI at 7T in under 40 minutes enables single-session mapping of glucose and downstream metabolism across major organs, complementing FDG-PET and supporting clinical translation.
15:19		606-02-010. ³¹P-MRSI Reveals Bioenergetic Upregulation and Impaired Membrane Turnover in PD with REM Sleep Behavior Disorder Yan Li, Qiurong Yu, Pei Huang, Jinyuan Weng, Peng Wu, Haipeng Dong, E. Mark Haacke, Shengdi Chen, Fuhua Yan, Naying He Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China Impact: This study identifies phosphorus-based neuroimaging biomarkers that distinguish PD-RBD from PD-noRBD, enabling more accurate subtyping. It advances understanding of PD heterogeneity and may guide targeted therapies, while prompting further research into metabolic dysfunction in Parkinson’s disease.