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

Oral

Applications of QSM and Iron in the Brain

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Applications of QSM and Iron in the Brain
Oral
Neuro B
Tuesday, 12 May 2026
Ballroom East
16:00 - 17:50
Moderators: Giulia Debiasi & Yasutaka Fushimi
Session Number: 404-04
CME/CE Credit Available
This session will look at application of QSM and iron imaging in the brain. Applications include Parkinson's Disease, Multiple Sclerosis, Albinism, Stroke, Neurodegeneration, as well as the impact of contact sports.
Skill Level: Intermediate

16:00   404-04-001.  Introduction
Giulia Debiasi
University of California, Berkeley, United States of America
16:11 Figure 404-04-002.  Quantitative Susceptibility Mapping-Based Substantia Nigra Volumetry for Differential Diagnosis of Parkinsonism
Huseyin Candan, Sungyang Jo, Nepes Myratgeldiyev, Abel Tessema, Hansol Lee, Jae-Hyeok Lee, Hyoyoung Lee, Grace Lee, Chong Suh, Jihong Ryu, Sun Chung, Kyemyung Park, Eun-Jae Lee, HyungJoon Cho
Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of
Impact: Quantitative susceptibility mapping-based substantia nigra volumetry significantly improves differentiation between progressive supranuclear palsy and multiple system atrophy compared to conventional T1-based morphometry, highlighting its potential as a valuable biomarker for the currently challenging task of differential diagnosis of parkinsonian syndromes.
16:22 Figure 404-04-003.  Data-driven staging and subtyping reveal spatiotemporal trajectories of brain iron in Parkinson’s disease
AMPC Selected
Jianmei Qin, Alain Dagher, Xiaojun Guan, Minming Zhang
Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
Impact: This work establishes a data-driven framework to disentangle Parkinson’s disease heterogeneity, revealing biologically meaningful spatiotemporal trajectories of iron accumulation that may enable personalized disease staging, progression tracking, and biomarker-based patient stratification in clinical trials.
16:33 Figure 404-04-004.  Iron mapping in Parkinson’s disease using deep learning-enhanced susceptibility source separation
Magna Cum Laude
Hyeong-Geol Shin, Kelly Mills, Ted Dawson, Taechang Kim, Jongho Lee, Xu Li, Peter van Zijl, Jannik Prasuhn
Johns Hopkins University, Baltimore, United States of America
Impact: Deep learning–enhanced χ-separation generated biologically interpretable, iron-specific susceptibility maps that revealed cortical and nigral abnormalities in Parkinson’s disease that were not detected by standard QSM. This approach may provide reliable progression markers and treatment-monitoring endpoints for neuroprotective and circuit-targeted interventions.
16:44 Figure 404-04-005.  Brain iron varies with brain penetration capabilities of iron chelators: deferiprone vs deferasirox
Carly Skudin, Alexey Dimov, Chao Li, Sujit Sheth, Yi Wang
Weill Cornell Medicine, New York, United States of America
Impact: Iron chelation is a potential therapy for patients with brain iron accumulation associated with neurodegeneration. We measured brain iron using QSM for two commonly used chelators and demonstrated lower levels in patients taking deferiprone compared to patients taking deferasirox.
16:55 Figure 404-04-006.  Revisiting the Role of Tyrosinase in Human Neuromelanin Formation Using NM-MRI in Oculocutaneous Albinism Type 1
Summa Cum Laude
Alexis BARON, Vineeth Radhakrishnan, François-Xavier Lejeune, Rahul Gaurav, Mathieu SANTIN, Benoit ARVEILIER, Lluís MONTOLIU, F. Xavier AYMERICH, Silvia ENRIQUEZ-CALZADA, Jorge HERNANDEZ-VARA, Alex Rovira, Javier HOYO, Isabelle ARNULF, Jean-Christophe Corvol, Marie Vidailhet, Miquel Vila, Stéphane Lehéricy
Paris Brain Institute - ICM, Paris, France
Impact: Our findings suggest that NM synthesis in the human brain is not driven by tyrosinase. Identifying alternative enzymatic or spontaneous oxidative pathways may advance understanding of dopaminergic neuron biology and provide new targets for neuroprotection in Parkinson’s disease.
17:06 Figure 404-04-007.  Comparing the Vascular density and iron deposition for the thalamus subnuclei using USPIO-MRI and QSM at 3T
Sagar Buch, Yongsheng Chen, Rohit Marawar, Vaibhav Diwadkar, Maysaa Basha, Yulin Ge, E. Mark Haacke
Wayne State University School of Medicine, Detroit, United States of America
Impact: The combination of thalamic structure, vasculature, and iron metabolism offers a powerful framework to differentiate normative aging from early neurovascular pathology that will be further investigated in neurological and neuropsychiatric disorders.
17:17 Figure 404-04-008.  Quantitative Susceptibility Mapping Detects Progressive Iron Accumulation in Early MSA
Paula Trujillo, Kilian Hett, Amy Cooper, Amy Brown, Manus Donahue, Colin McKnight, Margaret Bradbury, Cynthia Wong, David Stamler, Daniel Claassen
Vanderbilt University Medical Center, Nashville, United States of America
Impact: QSM, especially P75 and patient-level z-score mapping, offers a scalable biomarker to detect and track iron dysregulation in early MSA, enabling earlier diagnosis, objective monitoring, and evaluation of iron-modulating therapeutic interventions.
17:28 Figure 404-04-009.  Integrated Iron and Neuron-Glial Metabolism Predict Functional Outcome After Ischemic Stroke with Simultaneous QSM–MRSI
Ziyu Meng, Shuoyun Feng, Tianyao Wang, Yibo Zhao, Yudu Li, Wen Jin, Zhi-Pei Liang, Yao Li
National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
Impact: Simultaneous QSM–MRSI provides an integrated view of iron, neuronal, and glial alterations after stroke. By revealing iron-driven oxidative–metabolic coupling as a useful predictor of early recovery, simultaneous QSM–MRSI provides a multimodal biomarker for prognosis and targeted neuroprotective interventions.
17:39 Figure 404-04-010.  Longitudinal Imaging of Iron and Myelin Maturation in Contact-Sport Athletes Using Source-Separated QSM
Reese Dunne, Marios Georgiadis, Mahta Karimpoor, Pascal Spincemaille , Alexey Dimov, Brian Mills, Maged Goubran, Hossein Taghavi, Nicole Mouchawar, Sohrab Sami, Max Wintermark, Gerald Grant, David Camarillo, Yi Wang, Michael Zeineh
Stanford University, Stanford, United States of America
Impact: Source-separated QSM identifies sport- and time-dependent differences in brain susceptibility, highlighting its value for examining longitudinal microstructural changes associated with varying levels of contact exposure.

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