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

Traditional Poster

Quantitative Imaging

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Quantitative Imaging
Traditional Poster
Acquisition & Reconstruction
Monday, 11 May 2026
Traditional Posters | Exhibition Hall
14:45 - 15:40
Session Number: 370-07
No CME/CE Credit
This session covers a variety of topics in quantitative imaging.

  Figure 370-07-051.  Repeatability of Phase-Based MR-EPT in the Human Brain: A Comparison of State-of-the-Art Methods
Philippa Sha, Jierong Luo, Matthew Cherukara, Chan-Hee Park, Kyu-Jin Jung, Alessandro Arduino, Oriano Bottauscio, Luca Zilberti, Dong-Hyun Kim, Karin Shmueli
University College London, London, United Kingdom
Impact: This study presents the first systematic cross-method investigation of EPT repeatability in the human brain. This work marks an important step towards standardising EPT methodology and promoting reproducibility. Demonstrating repeatability is crucial for the clinical translation of EPT.
  Figure 370-07-052.  Defect Distribution Index: A Novel Measure for Quantifying Ventilation Defects Clustering via 4D Ultrashort Echo Time MRI
Ziwei Zhang, Li Fan, Yuanyuan Cui
The Second Affiliated Hospital of Naval Medical University, SHANGHAI, China
Impact: Defect distribution index (DDI) is a novel MRI-based index that quantifies the spatial pattern of ventilation defects. It provides complementary information to VDP and demonstrates stronger correlations with lung function impairment.
  Figure 370-07-053.  Identifying Chemotherapy-Sensitive Nasopharyngeal Carcinoma Patients Using Biomechanical Parameters
Huanhuan Ren, Yao Huang, Qian Xu, Daihong Liu, Yulin Wang, Junhao Huang, Xinying Ren, Ting Yin, Jiuquan Zhang
Chongqing, chongqing, China
Impact: The nomogram integrating Hindex, stiffness volume entropy, and viscosity-based maximum habitat proportion holds potential to predict the IC response.
  Figure 370-07-054.  Numerical Evaluation of Tissue Microstructure using Compartmental Time-Dependent Diffusion Kurtosis Imaging
Tuan-Khai Nguyen-Tran, Mark Does, Kevin Harkins
Vanderbilt University, Nashville, United States of America
Impact: Simulations in realistic microstructure ground truths offer a better interpretation of time-dependent kurtosis and facilitate the design of kurtosis-based acquisitions for precise tissue characterization.
  Figure 370-07-055.  Joint Modeling of Magnetization Transfer and Relaxation for Multi-Component Tissue Characterization
Albert Jang, Hyungseok Jang, Nian Wang, Alexey Samsonov, Fang Liu
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Impact: Multiparametric qMRI provides detailed assessment of tissue microstructure and microenvironment. qMT reflects myelin integrity, while multi-component relaxometry captures neurodegenerative changes. Yet, MT effects can bias multi-component quantification. Integrating both techniques can facilitate better understanding of disease pathogenesis and progression.
  Figure 370-07-056.  Improving Resolution and Robustness of Magnetization Transfer Imaging at Ultra-Low Field
Elena Kovacevic, Neale Wiley, Rui Pedro Teixeira, Anthony Traboulsee, Erin Gallinger, David Li, Bretta Russell-Schulz, Steven Williams, Sean Deoni, Shannon Kolind, Sharada Balaji
University of British Columbia, Vancouver, Canada
Impact: A method for generating isotropic magnetization transfer ratio maps at ultra-low field was developed, and demonstrated excellent repeatability, unlocking myelin imaging for portable MRI systems and broadening access to advanced neuroimaging in point-of-care scanning, and community and resource-limited settings.
  Figure 370-07-057.  3D Spiral-Nav Free-Breathing Simultaneous Cine+T1 Mapping Using Dual FAs with Dictionary-Learning and Subspace Reconstruction
Xitong Wang, Shen Zhao, Quan Chen, Sizhuo Liu, Yang Yang, Ruixi Zhou, Michael Salerno
Stanford University, Stanford, United States of America
Impact: Subspace reconstruction achieves similar accuracy and diagnostic quality to dictionary learning while enabling faster, temporally consistent 3D whole-heart cine + T1 mapping in a single 5-minute free-breathing scan, streamlining cardiac MR protocols.
  Figure 370-07-058.  Three-Dimensional T1rho Mapping at Ultra-low Field (6.5 mT) MRI
Sheng Shen, Stephen Ogier, Neha Koonjoo, Huaijin Gao, Kathryn Keenan, Matthew Rosen
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Impact: This work demonstrates the feasibility of 3D T1rho-weighted MRI for T1rho mapping at 6.5 mT. Despite quantitative bias relative to spectroscopic measurement, the proposed approach provides effective contrast among samples and serves as a foundation for future applications.

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