Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Quantitative Susceptibility Mapping: From Phase to Tissue Properties

Quantitative Susceptibility Mapping: From Phase to Tissue Properties

Oral

Contrast Mechanisms

Thursday, 14 May 2026

Meeting Room 2.60

08:30 - 10:20

Moderators: José Marques & Andrew Mao

Session Number: 630-01

CME/CE Credit Available

Similar Sessions

This session covers recent advances in quantitative susceptibility mapping and susceptibility source separation.

Skill Level: Advanced

08:30		630-01-001. ANISO-QSM: An Anisotropic Nonlinear Inversion for Susceptibility-separation Optimization algorithm. Daniel Ridani, Youssef Diouane, Benjamin De Leener, Eva Alonso Ortiz Polytechnique Montréal, Montréal, Canada Impact: By integrating susceptibility anisotropy into susceptibility separation, ANISO-QSM shows orientation-robust improvements in white matter negative susceptibility estimation. Our approach could provide researchers with a more accurate tool for investigating myelin-related susceptibility changes.
08:41		630-01-002. Decomposition of susceptibility sources identifies novel paramagnetic edema regions of glioblastoma Giulia Debiasi, Giovanni Librizzi, Valentina Visani, Marco Castellaro, Renzo Manara, Alessandra Bertoldo, Chunlei Liu University of California, Berkeley, United States of America Impact: The hyperintense pattern of paramagnetic susceptibility in the edema region of the glioblastoma suggests infiltration of iron-rich tumor-associated cells. Identification of these abnormal areas may allow visual detection of tumor infiltration based on magnetic susceptibility.
08:52		630-01-003. Multi-Compartment Relaxometry for myelin water imaging with magnetic susceptibility source separation (MCR-MWI-Chisep) Kwok-Shing Chan, Yohan Jun, Susie Huang, Hong Hsi Lee, Berkin Bilgic, José Marques Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America Impact: We develop an improved MWI framework that enhances myelin water fraction estimation while enabling simultaneous iron quantification. This approach supports low SAR, efficient, high-resolution whole-brain imaging, advancing in vivo characterisation of myelin and iron for neurodegenerative disease research.
09:03		630-01-004. Finite-difference based MR Electrical Properties Reconstruction Optimization Method at 3T Kyu-Jin Jung, Thierry Meerbothe, Chuanjiang Cui, Changmin Ryu, Mina Park, Cornelis van den Berg, Stefano Mandija, Chunlei Liu, Dong-Hyun Kim University of California, Berkeley, United States of America Impact: By reformulating MR-EPT as an optimization problem, the proposed methods improve robustness to noise, enhance reconstruction accuracy, and enable high-resolution (1×1×1mm³) electrical properties (σ and ε_r) mapping across simulation, phantom, and in-vivo experiments, highlighting its potential for clinical application.
09:14		630-01-005. Rapid Whole-Brain Susceptibility Source Separation within One Minute Using 3D Multiple Overlapping-Echo Detachment (3D-MOLED） Longkun Chen, Qinqin Yang, Nuowei Ge, Zejun Wu, Liuhong Zhu, Jianjun Zhou, Liangjie Lin, Jianfeng Bao, Shuhui Cai, Congbo Cai Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China Impact: This framework enables sub-minute, whole-brain susceptibility source separation with matching accuracy to conventional methods but eightfold faster scan times, offering a practical clinical solution for assessing iron and myelin in neurological disorders.
09:25		630-01-006. A Novel Oxygen Extraction Fraction Mapping Technique by combining QSM and Monte-Carlo Simulation of Magnitude Signal: Qsim Renlong Yang, Junghun Cho George Washington University, Washington, United States of America Impact: The proposed QSim delivers accurate OEF estimates in both healthy tissue and stroke lesions by modeling realistic physiology, including vascular structure and diffusion. Consequently, QSim is broadly usable across neurologic diseases, including enabling better identification of penumbra in ischemia.
09:36		630-01-007. Background Field Removal and Dipole Inversion Algorithm Optimization for Spinal Cord Quantitative Susceptibility Mapping Sebastian Rios, Anna Lebret, Maryam Seif, Eva Alonso Ortiz NeuroPoly Lab, Montreal, Canada Impact: We developed a spinal cord-specific QSM pipeline by optimizing background field removal and dipole inversion with a phantom, then validated in-vivo. Our framework enhances susceptibility contrast and preserves geometry, enabling biomarkers for diagnosis, prognosis, and monitoring in spinal cord-involved disorders.
09:47		630-01-008. Refining relaxometric constant in susceptibility source separation Taechang Kim, Niklas Kuegler, Shir Filo, Agnieszka Burzynska, Kerrin Pine, Mikhail Zubkov, Puneet Talwar, Gilles Vandewalle, Guenther Grabner, Simon Hametner, Nikolaus Weiskopf, Evgeniya Kirilina, Jongho Lee Seoul National University, Seoul, Korea, Republic of Impact: This work demonstrates that incorporating myelin-sensitive imaging into the relaxometric estimation model improves the biological plausibility of susceptibility source separation. The refined $D_{r,para}$ enables more accurate mapping of myelin, which may facilitate neuroscience studies and clinical assessments of microstructural changes.
09:58		630-01-009. Dipole-lets (𝔇): a new multiscale framework for MR phase/QSM analysis and reconstruction Carlos Milovic, Ignacio Contreras-Zúñiga, Mathias Lambert, Cristian Tejos Pontificia Universidad Católica de Chile, Santiago, Chile Impact: Physics-matched multiscale transform that isolates non-dipolar phase content and targets QSM artifacts. As simple weights or L2/L∞ regularizers, dipole-lets reduce streaking and improve reconstructions, enabling future task-matched priors and deep-learning integration beyond traditional wavelets/shearlets.
10:09		630-01-010. Quantitative susceptibility mapping and decomposition of paramagnetic and diamagnetic components in motor neuron diseases. Lorenzo Gualco, Davide Sabbadin, Oliver Kiersnowski, Matteo Pardini, Angelo Schenone, Chiara Gemelli, Pilar Ferraro, Alessio Signori, Corrado Cabona, Mirco Cosottini, Graziella Donatelli, Chunlei Liu, Mauro Costagli, Luca Roccatagliata University of Genoa, Genoa, Italy Impact: Disentangling magnetic sources underlying Quantitative Susceptibility Mapping signal improves sensitivity to motor neuron diseases-related motor cortex iron accumulation, thus representing a potential step toward more specific and quantitative MRI biomarkers for upper motor neuron pathology.