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

Digital Poster

Molecular Imaging and Ultra High Field Acquisition

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Molecular Imaging and Ultra High Field Acquisition
Digital Poster
Contrast Mechanisms
Thursday, 14 May 2026
Digital Posters Row I
08:30 - 09:25
Session Number: 668-01
No CME/CE Credit
This session highlights emerging molecular imaging methods using PET and advanced MRI techniques such as ²³Na MRI and ¹³C MRI, focusing on in-vivo metabolic and ionic imaging across the brain, body, and other disease applications, with clinical and translational relevance as well as applications at ultra high fields.
Skill Level: Intermediate

  Figure 668-01-001.  Cerebral Bioenergetic Responses to Hyperglycemia: Linking Glucose Uptake and Phosphate Energy Metabolism in the Human Brain
Mark Widmaier, Brooke Matson, uzay emir, Janice Hwang
University of North Carolina, Chapel Hill, United States of America
Impact: 
Ultra-high-field ¹H/³¹P MR(S)I allows simultaneous measurement of brain glucose and high-energy phosphates, enabling direct assessment of cerebral bioenergetic coupling in vivo. This framework provides a basis for examining how glucose metabolism and ATP production relate in health and metabolic disease.
  Figure 668-01-002.  Novel Iron(III)-based MR imaging marker for the early detection of abdominal aortic aneurysms
Felix Reuter, Lorenzo Palagi, Sergio Padovan, Avan Kader, Eliana Gianolio, Giuseppe Digilio, Silvio Aime, Marcus Makowski
Technical University of Munich, Munich, Germany
Impact: The novel MRI probe can be used to specifically detect a known biomarker for the early detection of Abdominal Aortic Aneurysms (AAA). The use of iron(III) eliminates gadolinium-associated safety concerns.
  Figure 668-01-003.  Metabolic Imaging with Hyperpolarized 13C MRI for Theranostic Assessment of Prostate Cancer
Liang Wang, Qiubai Li
University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
Impact: Hyperpolarized ¹³C MRI detects metabolic changes preceding structural response, enabling early treatment assessment and personalized management of prostate cancer. This real-time metabolic imaging links tumor biology with clinical outcome, establishing foundation for precision oncology and future multicenter theranostic validation trials.
  Figure 668-01-004.  Feasibility of Using Short Repetition Time for Brain Tumors in 23Na-MRI
Koji Yamashita, Makoto Obara, Kazufumi Kikuchi, Daichi Momosaka, Masaoki Kusunoki, Yasutomo Katsumata, Tatsuhiro Wada, Chiaki Tokunaga, Marc Van Cauteren, Kousei Ishigami
Kyushu University, Fukuoka, Japan
Impact: 

Sodium (23Na)-MRI with a TR of 60 msec provides a good visualization of brain tumors while significantly reducing scan time compared to a TR of 100 msec. Shortening scan time while maintaining diagnostic image quality enables faster clinical decision-making.
  Figure 668-01-005.  Whole-brain 1H-MRSI phenotyping of intracranial germ cell tumors and preliminary coupling with 11C-MET PET
Yanong Li, Jiwei Li, Zhizheng Zhuo, Yuanbin Zhao, Haiqing Zhang, Yibo Zhao, Yudu Li, Wen Jin, Zhi-Pei Liang, Jie Luo, Yaou Liu
Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
Impact: Ultrafast 1H-MRSI enables whole-brain, multi-metabolite mapping of intracranial germ cell tumors (iGCTs), revealing subject-specific fingerprints that delineate tumors and correlate with 11C-MET PET uptake; showing promise as a noninvasive, radiation-free alternative to PET in iGCTs monitoring and subtyping.
  Figure 668-01-006.  Ultra-high resolution MRI of resected adnexa tissue as a complement to histology in the study of epithelial ovarian cancer
M. Dylan Tisdall, Gabor Mizsei, Winifred Trotman, Lauren Schwartz, Stefan Gysler, Karthik Sundaram
Perelman School of Medicine, University of Pennsylvania, United States of America
Impact: Through the application of ultra-high resolution tissue imaging methods previously developed for human brain samples, we demonstrate the sensitivity of GRE and bSSFP at 7T to epithelial ovarian cancer pathology and the ability to visualize its distribution in 3D.
  Figure 668-01-007.  Quantitative MRI metrics and tumor spreading in glioblastoma: impact of MGMT methylation status
Alberto Galimberti, Stephanie Mangesius, Julian Mangesius, Johannes Kerschbaumer, Christian Freyschlag, Ute Ganswindt, Elke Gizewski, Christoph Birkl
Medical University of Innsbruck, Innsbruck, Austria
Impact: This study explores the potential of quantitative MRI metrics in capturing glioblasoma spreading. Our approach could help predict tumor progression and patient’s survival, potentially guiding clinical decision making and treatment planning.
  Figure 668-01-008.  Secrets of Cartilage: How Micro-MRI and Sodium Reveal the Hidden Mechanics of Osteoarthritis
Galina Pavlovskaya, Arthur Harrison, Thomas Meersmann
Sir Peter Mansfield Imaging Center, University of Nottingham, Nottingham, United Kingdom
Impact: This study establishes micro-MRI combined with sodium MQF spectroscopy as a powerful tool to non-invasively detect compression-induced cartilage microstructural changes, providing load-sensitive biomarkers for early osteoarthritis diagnosis, monitoring disease progression, and evaluating therapeutic response with clinical translation potential.
  Figure 668-01-009.  Ultra high field Deuterium Metabolic Imaging of the human brain using Low-rank Subspace reconstruction
Konstantinos Olympios, Alex Bhogal, Narjes Ahmadian, Jaco Zwanenburg, Evita Wiegers, KYUNG MIN NAM
University Medical Center Utrecht, Utrecht, Netherlands
Impact: LRSM, combined with compressed-sensing using Hamming-weighted k-space sampling, accelerates brain DMI while improving SNR efficiency and preserving spectral fidelity, enabling more precise metabolite mapping and reliable quantification for lesion delineation and longitudinal response assessment, facilitating integration into routine neuro-MRI protocols.
  Figure 668-01-010.  Advanced neuroimaging techniques to explore and enhance the detection of leptomeningeal metastases
Junhui Yuan, Shaobo Fang, Xuejun Chen
The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
Impact: CE-MATRIX-T1FLAIR enhances leptomeningeal metastasis detection and consistency across readers, improving diagnostic confidence and reducing dependence on expertise. This advancement may standardize LM imaging, guide early treatment decisions, and inspire broader research into black-blood MRI applications for subtle meningeal pathologies.
  Figure 668-01-011.  pTx Improves Visualization of Infratentorial Pathologies in FLAIR and DIR at 7T: A Clinical Case Study
qichao cheng, Yuancheng Jiang, Dandan Zhang, anning li, Ruiqi Li, Gian Franco Piredda, Jürgen Herrler, Dexin Yu
Qilu Hospital of Shandong University, Jinan, China
Impact: This work demonstrates that pTx makes 7T imaging of the posterior fossa clinically viable. This allows for superior visualization of challenging infratentorial pathologies, potentially improving diagnostic confidence and impacting treatment planning for conditions like brainstem strokes and metastases.
  Figure 668-01-012.  Ultra-High-Field Improves Olfactory Bulb Visualization and Volumetry Reliability versus 3.0T
Ying He, CuiPing Mao, Yi Zhu
the Second Affiliated Hospital of Xi'an JiaoTong University,Xi'an,Shannxi, China
Impact: This study establishes 5.0T MRI as a superior tool for precise olfactory bulb assessment, enhancing reliability for early detection of neurodegenerative diseases like Alzheimer's.
  Figure 668-01-013.  Single-acquisition MP2RAGE at 7T for synthetic multi-contrast generation in multiple sclerosis
Myrte Strik, Matthijs de Buck, Emma Brouwer, Nikos Priovoulos, Mark Wessels, Eva Strijbis, Frederik Barkhof, Menno Schoonheim, Wietske van der Zwaag
Spinoza Centre for Neuroimaging, Amsterdam, Netherlands
Impact: Efficient 7T synthetic MRI contrast generation from a single scan reduces scan time, provides versatile multi-contrast images, and can enhance visualization of complex MS pathology.
  Figure 668-01-014.  Locally driven dielectric waveguide (L-DW) for efficient travelling-wave MRI at 7T
Yang Gao, Zicheng Wen, Xiaotong Zhang, Richard Bowtell
University of Nottingham, Nottingham, United Kingdom
Impact: The proposed locally driven travelling-wave method enables efficient, homogeneous excitation at ultra-high field by eliminating dependence on metallic waveguides. This innovation advances TW MRI toward practical implementation through clinical-mode single-channel RF transmission.

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