Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Oral

New Frontiers in CEST MRI

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New Frontiers in CEST MRI
Oral
Contrast Mechanisms
Wednesday, 13 May 2026
Meeting Room 1.40
13:40 - 15:30
Moderators: Xiang Xu & Ouri Cohen
Session Number: 507-03
No CME/CE Credit
This oral session features abstracts on novel pulse sequences, reconstruction methods, and emerging applications of CEST imaging.
Skill Level: Advanced

13:40   507-03-001.  Introduction
Ouri Cohen
Memorial Sloan Kettering Cancer Center, New York, United States of America
13:51 Figure 507-03-002.  Optimizing 3T GlucoCEST MRI for Bladder Cancer: Effects of Glucose Concentration, pH, and Sequence Parameters
Jing-Lu Li, Wen-Li Yang, Yu-Tao Jiang, Yun Xu, Yong-Sheng Xiang, Pu-Yeh Wu, Pei-Jun Wang, Fang Wang, Ai-Jun Shen
Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
Impact: The optimized 3T glucoCEST MRI protocol demonstrates reliable, contrast-free detection of bladder cancer, enhancing metabolic imaging sensitivity. It supports glucoCEST as a promising, non-invasive imaging biomarker reflecting tumor glucose metabolism and microenvironment acidity, potentially improving diagnosis and treatment monitoring.
14:02 Figure 507-03-003.  Endogenous CEST Signals Enable Simultaneous In Vivo pH and Temperature Mapping: A Proof-of-Principle Study
Summa Cum Laude
Philip Boyd, Jana Lechner, Jannis Wirtz, Vanessa Franke, Mark Ladd, Peter Bachert, Andreas Korzowski
German Cancer Research Center (DKFZ), Heidelberg, Germany
Impact: We present the first method for non-invasive, high-resolution in vivo pH and temperature mapping using endogenous CEST imaging. By simultaneously quantifying these fundamental physiological parameters, our approach provides powerful biomarkers with broad potential for disease detection, characterization and treatment monitoring.
14:13 Figure 507-03-004.  Application of quantitative guanidinium CEST-based pH mapping in healthy and pathological leg muscles at 3T
Summa Cum Laude
Valentin Henriet, Pierre-Yves Baudin, Benjamin Marty, Marc Lapert, Harmen Reyngoudt
Institute of Myology, Paris, France
Impact: High-resolution pH mapping with CEST-MRI is sensitive to subtle pathophysiological changes, enabling assessment of cellular homeostasis and early detection of cellular disturbances, positioning CEST-based pH as a promising predictive biomarker for neuromuscular disorders.
14:24 Figure 507-03-005.  Spectral-Spatial Deep Learning for Quantitative gagCEST Mapping of Lumbar Intervertebral Discs
Mohamed Ali Goundi, Karl Ludger Radke, Matthias Georg Deitermann, Timm Joachim Filler, Hans-Joerg Wittsack, Daniel Benjamin Abrar, Gerald Antoch, Anja Müller-Lutz
Medical Faculty, Heinrich Heine University Düsseldorf (DE), Düsseldorf, Germany
Impact: A spectral–spatial fusion model trained on anatomically realistic gagCEST simulations enables quantitative mapping of GAG concentration in lumbar intervertebral discs (IVDs), providing a reproducible framework that could support the future development of compositional MRI biomarkers for early disc degeneration.
14:35 Figure 507-03-006.  3D EPTI-CEST: Snapshot and distortion-free whole-brain 3D CEST MRI
Magna Cum Laude
Jian Wu, Paul Weiser, Ovidiu Andronesi, Zijing Dong, Fuyixue Wang
Massachusetts General Hospital and Harvard Medical School, Boston, United States of America
Impact: The proposed 3D-EPTI-CEST enables snapshot, distortion-free whole-brain CEST imaging at 2-mm-iso at both 3T and 7T, providing reliable CEST contrast strongly correlated with reference metabolite concentration (as demonstrated in phantom) and high image quality (as in ex-vivo and in-vivo experiments).
14:46 Figure 507-03-007.  Spatial-Frequency Feature Learning for Fast Amide Contrast Mapping from Sparse CEST Offsets
Magna Cum Laude
PEI CAI, Ziyan Wang, Jiawen Wang, Huabin Zhang, Shihao Zeng, Ka Fung Henry Mak, Lequan Yu, Jianpan Huang
The University of Hong Kong, Hong Kong, China
Impact: This study demonstrates that incorporating spatial–frequency feature learning enables accurate amide contrast reconstruction from sparse CEST data, significantly reducing acquisition and fitting time while maintaining quantitative integrity, paving the way for rapid multi-contrast molecular MRI.
14:57 Figure 507-03-008.  Quantitative 7 T CEST Imaging of Metabolic Integrity in Multiple Sclerosis: Aging and Lesion effects
Sebastián Navarrete, Milena Capiglioni, Stefanie Marti, Lukas Pirpamer, Richard McKinley, Robert Hoepner, León Betancourt, Piotr Radojewski
Universidad de Concepción, Concepción, Chile
Impact: This study shows that 7T CEST captures age-dependent and lesion-volume contrast differences between MS and healthy tissues, suggesting a possible link between metabolic integrity and MS pathology.
15:08 Figure 507-03-009.  Towards Reliable CEST Imaging of the Breast: Evaluation of Fat Correction Strategies at 3T
Magna Cum Laude
Neele Kempa, Petr Menshchikov, Mark Ladd, Peter Bachert, Andreas Korzowski, Philip Boyd
German Cancer Research Center (DKFZ), Heidelberg, Germany
Impact: We systematically evaluated fat correction strategies for CEST breast imaging in healthy volunteers. The identified optimal approach brings forward clinical applications in breast cancer imaging and screening, and may further benefit CEST studies in other fat-containing body regions.
15:19 Figure 507-03-010.  In Vivo Human Brain CEST MRI at 11.7T: First Results
Magna Cum Laude
Camélia Ressam, Joseph Brégeat, Alfredo Lopez Kolkovsky, Alexis Amadon, Alexandre Vignaud, Aurélien Massire, Son Chu, Shajan Gunamony, Nicolas Boulant, Vincent Gras, Franck Mauconduit, Luisa Ciobanu
CEA NeuroSpin, Paris-Saclay University, CNRS, Gif-Sur-Yvette, France
Impact: This study demonstrates effective mitigation of B1+ inhomogeneity, establishing the feasibility of CEST imaging at 11.7T and paving the way for future investigations of gray-white matter contrast and metabolite-weighted signals in the human brain at ultra-high-field.

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