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

Digital Poster

New Developments in QSM I

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New Developments in QSM I
Digital Poster
Contrast Mechanisms
Wednesday, 13 May 2026
Digital Posters Row A
08:20 - 09:15
Session Number: 560-01
No CME/CE Credit
Similar Sessions
This session covers recent advances in quantitative susceptibility mapping.
  Figure 560-01-001.  Motion-induced B0 Field Perturbation Prediction and Correction for Susceptibility Weighted Imaging at 5T
Bingbing Zhao, Yichen Zhou, Xiaopeng Zong
School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
Impact: The proposed $\delta B_0$ model captures high-order pose-dependent field perturbations, enabling accurate motion correction without additional per-pose field map acquisitions.
  Figure 560-01-002.  Motion-Aware Fieldmap Estimation for Susceptibility Distortion Correction in EPI
Laurin Mordhorst, Lars Ruthotto, Siawoosh Mohammadi
University of Luebeck, Luebeck, Germany
Impact: We present and validate a motion-aware fieldmap estimation method for diffusion EPI that improves distortion correction when reference scans are affected by motion, contributing toward establishing EPI as a reliable tool for clinical applications.
  Figure 560-01-003.  Single breath-hold high-resolution quantitative susceptibility mapping of the liver using CAIPIRINHA-accelerated 3D EPI
Sjoerd Vos, Hamed Moradi, Jin Jin, Leon Adams, Oyekoya Ayonrinde, Kieran O'Brien, Paul Parizel
The University of Western Australia, Perth, Australia
Impact: Current liver QSM scans require compromises on TE, coverage, or resolution, limiting sensitivity in healthy liver and early-stage disease. CAIPIRINHA-accelerated 3D EPI overcomes limitations of current 2D or 3D GRE scans achieving reproducible QSM maps across a range of TEs.
  Figure 560-01-004.  Spatiotemporal Scout-based Multi-Echo NAvigator (st-SMENA) for accurate and continuous motion and δB0 tracking
Nan Wang, Yimeng Lin, Daniel Polak, Xiaozhi Cao, Yonatan Urman, Aizada Nurdinova, Mengze Gao, Daniel Abraham, Zachary Shah, Congyu Liao, Stephen Cauley, Kawin Setsompop
Stanford University, Stanford, United States of America
Impact: The developed technique, st-SMENA, provides accurate high-temporal-resolution motion-and-δB0 estimation with high spatial resolution at negligible added time. The experiments at 3T and 7T with challenging motion and breathing patterns demonstrated promise for clinical use in motion-prone patient populations.
  Figure 560-01-005.  Transmit Magnetic Field Optimised Susceptibility-weighted Imaging at 7T Using Parallel Transmission
Chia-Yin Wu, Natasha Fullerton, Shajan Gunamony, David Porter
University of Glasgow, Glasgow, Scotland, United Kingdom
Impact: Parallel transmission is known for efficient RF pulse designs enabling uniform excitations across a whole brain volume. We show that subject-tailored pTx pulses can directly mitigate B1+ inhomogeneities addressing undesirable contrast variations and signal drop-out in SWI.
  Figure 560-01-006.  Detecting and Correcting Phase Unwrapping Artifacts for Quantitative Susceptibility Mapping
Ignacio Contreras-Zúñiga, Carlos Milovic, Cristian Tejos
Pontificia Universidad Católica de Chile, Santiago, Chile
Impact: Our method reduces reconstruction errors in QSM produced by phase unwrapping errors.
  Figure 560-01-007.  Toward QSM with Oscillating Steady State Imaging: Physics-Informed OSSI Protocol Optimization for Robust B0 and T2* Mapping
Mariama Salifu, Shouchang Guo, Shraddha Pandey, Douglas Noll, M. Dylan Tisdall
University of Pennsylvania, Philadelphia, United States of America
Impact: Oscillating Steady State Imaging (OSSI) can produce high-quality $\Delta B_0$and $T_2^*$maps in a single rapid acquisition, potentially complementing multi-echo GRE for quantitative susceptibility mapping (QSM). Optimized OSSI protocols yielded GRE-like accuracy, supporting in-vivo translation and faster QSM .
  Figure 560-01-008.  Magnetic susceptibility-derived intracellular volume fraction as a marker for tissue cellularity
Giulia Debiasi, Oliver Kiersnowski, Giovanni Librizzi, Luca Roccatagliata, Renzo Manara, Mauro Costagli, Alessandra Bertoldo, Chunlei Liu
University of California, Berkeley, United States of America
Impact: Tissue cell density and composition are affected by pathological changes. Tracking and monitoring of tissue cellularity changes could aid clinical management of brain diseases. We propose $\chi DCI$as a new marker of tissue cellularity derived from magnetic susceptibility compartmentalization.
  Figure 560-01-009.  Modular Framework for Automated QSM Integration into Deep Brain Stimulation Neurosurgical Planning Systems
Eric Cito, Lee Reid, Devin Schoen, Skyler Deutsch, Cherise Wong, Ahmad Alhourani, Marta San Luciano Palenzuela, Philip Starr, Melanie Morrison
University of California San Francisco, San Francisco, United States of America
Impact: An open-source, modular tool for automated clinical integration of QSM can enhance surgical planning for deep brain stimulation and other neuro applications. The framework can be adapted to any non-conventional image contrast, accelerating clinical translation of advanced MRI.
  Figure 560-01-010.  Physics-informed deep image prior for susceptibility source separation
Maneesh John, Alexandra Roberts, Benjamin Weppner, Dominick Romano, Mert Sisman, Pascal Spincemaille , Ilhami Kovanlikaya, Alexey Dimov, Yi Wang
Cornell University, Ithaca, United States of America
Impact: Our proposed physics-informed deep image prior (piDIP) method for $R_2^*$-QSM source separation can reduce artifacts where strong susceptibility sources are present, and the approach is generalizable to other inverse problems with a differentiable cost function.
  Figure 560-01-011.  Is It Resonating? A Framework for Deciding When (and When Not) to Harmonize Multi-Site QSM/R2* Data
Elena Kovacevic, Nashwan Naji, Lindsay Munroe, Poljanka Johnson, Dlorah Lyne Agama, Zhuoran Wang, Annette Lam, Bretta Russell-Schulz, Irene Vavasour, Joshua Lee, Yunyan Zhang, Roger Tam, Jiwon Oh, Alexandre Prat, Alan Wilman, Anthony Traboulsee, Shannon Kolind
University of British Columbia, Vancouver, Canada
Impact: A framework was developed for evaluating whether longitudinal multi-site, multi-vendor QSM/R2* data require harmonization, using 3T brain MRI data from 5 sites and 3 vendors. This approach helps avoid unnecessary harmonization that could obscure meaningful biological variability.
  Figure 560-01-012.  Mesoscopic Larmor frequency shifts reduce orientation dependence in susceptibility source separation
Alexander Stürz, Melanie Bauer, Christoph Birkl
Medical University of Innsbruck, Innsbruck, Austria
Impact: Quantifying iron and myelin via magnetic susceptibility mapping is promising, yet models remain limited by microstructural complexity. Integrating recent dMRI-based models of mesoscopic Larmor frequency shifts into $\chi$-Separation achieved reduced orientation dependence of paramagnetic susceptibility estimation.
  Figure 560-01-013.  A deep learning approach to solve the DECOMPOSE-QSM model for source separation of magnetic susceptibility
Fábio Otsuka, Giulia Debiasi, Chunlei Liu, Carlos Salmon, Maria Garcia Otaduy
Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, Brazil
Impact: The proposed deep learning model allows a (106 times) faster computation of source separation of magnetic susceptibility of the DECOMPOSE model, with high agreement to the standard method, while also diplaying higher noise stability and artifact reduction in the CSF.
  Figure 560-01-014.  Contrast Enhancement in Susceptibility-Weighted Imaging using a 3D Wasserstein-GAN with conditional Multi-Echo Input
Daniel Eichleitner, Guenther Grabner, Sutatip Pittayapong, Christian Menard, Wolfgang Bogner, Georg Langs, Assunta Dal-Bianco, Beata Bachrata
Carinthia University of Applied Sciences, Klagenfurt, Austria
Impact: The study demonstrates the feasibility of providing conditional input to a GAN model to infer magnitude and phase data at a later echo-time. Good initial SWI reconstruction results promise a 30-40% decrease in acquisition time while retaining high contrast.
  Figure 560-01-015.  Cross-Modal Correspondence and Divergence between ViSTa Myelin-Weighted Imaging and χ-Diamagnetic Susceptibility Mapping
Se-Hong Oh, Ken Sakaie, Gawon Lee, Jian Lin, Brian Appleby, Muralidhar Pallaki, Karin Mente, Peijun Chen, Jagan Pillai, Mark Lowe
Hankuk university of Foreign Studies, gyeonggi-do, Korea, Republic of
Impact: ViSTa and χ-dia demonstrate convergent myelin sensitivity in posterior white matter and complementary contrast in regions with complex microstructure. Mapping their agreement and divergence provides insight into tissue-specific MRI contrast mechanisms and supports harmonized, multimodal myelin imaging biomarkers.

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