Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Novel Contrast Mechanisms II

Digital Poster

Contrast Mechanisms

Wednesday, 13 May 2026

Digital Posters Row H

16:55 - 17:50

Session Number: 567-06

No CME/CE Credit

Similar Sessions

This session highlights recent advances in novel MRI contrast mechanisms including physical principles, technical development, and emerging applications.

		567-06-001. Robust Motion Correction for Single-Shot and Multi-Shot Brain Magnetic Resonance Elastography Zhuoyu Shi, Alex Cerjanic, Grace McIlvain Columbia University, New York, United States of America Impact: COMET enables multi-shot brain MRE motion correction via iterative motion-aware reconstruction and evaluates single-shot MRE post-reconstruction correction. It restores sharpness, improves stiffness accuracy, and recovers usable image quality in severe motion cases, expanding reliable MRE to clinical and challenging populations.
		567-06-002. Contrast-enhanced and unenhanced spiral-UTE are comparable for depicting morphological features of pulmonary nodules Qing Fu, Ting Yin, Thomas Benkert, Jing Peng Impact: Contrast-enhanced and unenhanced free-breathing spiral-UTE are comparable for depicting morphological features of pulmonary nodules/masses, providing the evidence that unenhanced spiral-UTE is adequate for morphological evaluation purpose.
		567-06-003. The QUANTI OBR Phase 3 trial investigating gadoquatrane for contrast-enhanced MRI of the body with up to 60% less gadolinium Petra Palkowitsch, Viktoriia Fursenko, Alex Liu, Birte Hofmann, Mark Klemens Bayer AG, Berlin, Germany Impact: Gadoquatrane is a tetrameric mGBCA exhibiting high relaxivity currently in clinical development. In the future, once approved, it would offer a substantial gadolinium dose reduction compared to other extracellular GBCAs.
		567-06-004. Hemodynamics-based Mapping of Oxygen Extraction Fraction (hOEF) from Multi-Echo Gradient-Echo Data using Deep Neural Networks Mert Sisman, Hangwei Zhuang, Junghun Cho, Kohsuke Kudo, Thanh Nguyen, Pascal Spincemaille , Yi Wang Cornell University, Ithaca, United States of America Impact: Neuronal metabolic Oxygen Extraction Fraction (OEF) serves as a key clinical indicator of tissue viability. Noninvasive assessment of OEF would be a very important tool for the clinicians to evaluate various neurological diseases, including stroke, Alzheimer’s disease, and multiple sclerosis.
		567-06-005. A Novel Approach for Optimization of MEGA-sLASER for Profiling of IDH-mutated Gliomas using in vivo 1H-MR Spectroscopy at 3T Ronald Instrella, Russell Posner, Karl Landheer, Fabio Iwamoto, Sachin Jambawalikar, Christoph Juchem, Angela Lignelli Columbia University, New York, United States of America Impact: An approach to select T_E for in vivo 2-hydroxyglutarate detection using MEGA-sLASER at 3T is presented, and is extendable to other metabolites or sequences. A T_E range is recommended and can be used by investigators to improve tumor monitoring protocols.
		567-06-006. Whole-Brain Mapping of Ethanol Kinetics via 3D SLOW-EPSI at 7 T Guodong Weng, Piotr Radojewski, Arsany Hakim, Roland Wiest, Roland Kreis, Johannes Slotboom Yale University, New Haven, United States of America Impact: Enables fast 3D whole-brain mapping of ethanol kinetics at 7T via SLOW-EPSI, revealing distinct GM/WM/CSF dynamics and enabling spatially and temporally resolved studies of alcohol in the human brain.
		567-06-007. Rigorous Uncertainty Quantification for Helmholtz-based EPT: Application to Uncertainty-Guided Post-processing Zhongzheng He, Julien Lamy, Alessandro Arduino, Luca Zilberti, Paulo Loureiro de Sousa ICube, CNRS, Université de Strasbourg, Strasbourg, France Impact: We provide a ground-truth-free uncertainty metric for Helmholtz-based EPT. The uncertainty maps can be thresholded to identify reliable voxels for analysis, while our uncertainty-guided filter further improves accuracy and reduces boundary artifacts. All code is openly available on GitHub.
		567-06-008. Assessing the Role of DCE-MRI in Enhancing the Positive Predictive Value of PI-RADS 3 Lesions for Prostate Cancer Nader Gharbia, Yasmine Saad, Kaies Chaker, Aymen Kammoun, Wasim Frikha, Yassine Nouira Faculty of medicine of Sfax, Tunisia Impact: By quadrupling the positive predictive value of PI-RADS 3 lesions, DCE-MRI demonstrates a pivotal role in refining mpMRI interpretation. This enhancement can refine biopsy selection, reduce unnecessary procedures, and strengthen the diagnostic confidence of prostate MRI interpretation in clinical practice.
		567-06-009. Distortion correction of pseudo-continuous arterial spin labeling in the intraoperative setting Carmen Sánchez Albardíaz, Marta Calvo, Verónica Aramendía-Vidaurreta, Rebeca Echeverria-Chasco, Marta Vidorreta Díaz de Cerio, Bartolomé Bejarano, Lain Gonzalez-Quarante, Ana Aransay García, Cristina Honorato, Elena Cacho-Asenjo, Antonio Martinez-Simón, Maria Fernandez-Seara Clinica Universidad de Navarra, Pamplona, Spain Impact: TOPUP distortion correction method outperformed FUGUE in regions with large B₀ off-resonance values, providing a more accurate correction approach for PCASL-GRASE images affected by magnetic field inhomogeneities.
		567-06-010. Non-contrast MRI imaging of oxygen metabolism in human calf muscles using VSASL and ANN-based GESSE Congcong Fu, Sedaghat Sam, Hanyi Zhang, Schmitz Fabian, Strauss Dimitrios, Hans-Ulrich Kauczor, Ke Zhang Heidelberg University Hospital, Heidelberg, Germany Impact: This contrast-free MRI approach enables simultaneous quantification of muscle perfusion and oxygen metabolism with clinically acceptable scanning time (9min). It offers a promising tool for physiological imaging and may support future applications in peripheral vascular disease, metabolic disorders, and oncology.
		567-06-011. Altered Magnetic Susceptibility and Oxygen Metabolism in Classical Trigeminal Neuralgia Revealed by QSM and OEF Mapping. jingqi Jiang, Xingyu Zhu, Kai AI, Jing Zhang Department of Magnetic Resonance, Lanzhou, China Impact: Altered amygdala susceptibility predicts surgical outcomes in classical trigeminal neuralgia, while distinct cortical oxygen metabolism deficits reveal central metabolic pathology, advancing understanding beyond peripheral compression.
		567-06-012. Semi-automated analysis to improve quantification consistency of whole-brain oxygen metabolism Min Chih Shih, Rou-Rong Chen, Yu-Hsien Chen, Yu-Sin Yang, Felix Wehrli, Pei-Hsin Wu National Sun Yat-sen University, Kaohsiung., Taiwan Impact: The proposed semi-automated analysis demonstrates its potential for consistent physiologic measurements, which could be beneficial for bulk analysis and clinical applications.
		567-06-013. Is bigger always better: Does increasing network capacity mitigate degeneracy in self-supervised qMRI parameter estimation? Giulio Minore, Timothy Bray, Gary Zhang University College London, London, United Kingdom Impact: This work shows that neural network capacity does not mitigate the effect of model degeneracy in quantitative MRI parameter estimation with self-supervised machine learning, thus addressing a key unresolved research question.
		567-06-014. Green-EPT formulation without the local homogeneity assumption Alessandro Arduino, Oriano Bottauscio, Umberto Zanovello, Luca Zilberti Istituto Nazionale di Ricerca Metrologica, Turin, Italy Impact: Taking advantage of Green's integral identity and assuming a locally piecewise constant distribution of the electrical properties in the tissues, it is possible to obtain a formulation of Green-EPT free of the local homogeneity assumption, improving the overall image quality.
		567-06-015. Oxygen Enhanced MRI to Evaluate Oxygen Uptake in the Lung Parenchyma using ZTE4D Abhilash Kizhakke Puliyakote, Saman Khodaei, Mariah Costa, José de Arcos, Ertan Cetingul, Sherry Huang, Rolf Schulte, Andrew Hahn, Sean Fain University of Iowa, Iowa City, United States of America Impact: Free-breathing ZTE-MRI can provide high-resolution 3D maps of parenchymal health, unbiased by regional differences in T2*. The increased SNR and ‘silent’ acquisition, combined with minimal hardware and contrast requirements, have significant clinical utility in vulnerable patient populations.
		567-06-016. Examination of Tumor Cell Invasion in the BG5-Glioma Model using MR-Elastography Hannah Fels-Palesandro, Yannik Streibel, Melina Müller, Kirill Mironov, Alexander Weiand, Sophie Heuer, Strahinja Stojanovic, Volker Sturm, Manuel Fischer, Sabine Heiland, Martin Bendszus, Ralph Sinkus, Katharina Schregel Heidelberg University Hospital, Heidelberg, Germany Impact: Detection and delineation of tumor cell infiltration in invasively growing brain tumors may be improved by the evaluation of tissue biomechanics using MR-elastography and thereby overcome limitations of clinically employed MR-sequences.