Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Quantitative Imaging: Applications

Oral

Acquisition & Reconstruction

Tuesday, 12 May 2026

Meeting Room 2.40

13:40 - 15:30

Moderators: José Marques & Milena Capiglioni

Session Number: 409-03

CME/CE Credit Available

Similar Sessions

This session presents advances on quantitative MRI pulse sequences, including MR fingerprinting, relaxometry, ultra-short TE and low field MRI.

13:40		409-03-001. Repeatability and reproducibility of knee cartilage T1ρ and T2 mapping: A multi-site multi-vendor study by QMIC Zhiyuan Zhang, Xinyan Jian, Jeehun Kim, Richard Lartey, Kihwan Kim, Patrick Yeh, Mei Li, Nancy Obuchowski, Carl Winalski, Brian Soher, Virginia Kraus, Qi Peng, Morgan Jones, Stacy Smith, Feliks Kogan, Jing Liu, Thomas Link, Daniel Thedens, Donald Anderson, Michael Samaan, Peter Hardy, Brian Pietrosimone, Majid Chalian, Qin Qin, Bruce Beynnon, Jiming Zhang, Niccolo Fiorentino, Edwin Oei, Shivraman Giri, maggie fung, Yansong Zhao, Jason Kim Cleveland Clinic, Cleveland, United States of America Impact: This study demonstrated excellent intra-site repeatability and inter-site reproducibility of knee cartilage T1ρ and T2 imaging using QMIC MSK committee–recommended protocols across multiple sites and vendors, supporting their potential future use in clinical practice and large-scale clinical trials.
13:51		409-03-002. OpenMRF: A Modular, Vendor-Neutral Open-Source Framework for Reproducible Magnetic Resonance Fingerprinting using Pulseq Tom Griesler, Jannik Stebani, Sydney Kaplan, Ivaylo Angelov, Petra Albert, Martin Blaimer, Peter Jakob, Tobias Wech, Maxim Zaitsev, Qingping Chen, Xiang Wang, Jesse Hamilton, Jon-Fredrik Nielsen, Peter Nordbeck, Nicole Seiberlich, Maximilian Gram University of Michigan, Ann Arbor, United States of America Impact: OpenMRF provides the MRI research community with an end-to-end, open-source framework for designing, simulating, and reconstructing MRF protocols. It enables reproducible, standardized, and vendor-independent quantitative MRI, facilitating multi-site studies and accelerating innovation in quantitative imaging research.
14:02		409-03-003. UTE-MRI Detects Increased Fat Deposition in Cortical Pores of Diabetic Bones Soo Hyun Shin, Qingbo Tang, Saeed Jerban, Eric Chang, Jeremy Pettus, Gina Woods, Yajun Ma, Jiang Du University of California, Berkeley, United States of America Impact: We demonstrate for the first time that UTE-MRI can detect fat deposition in cortical pores. Increased fat deposition in cortical pores of diabetic bones may serve as a useful imaging marker for monitoring bone health in patients with diabetes.
14:13		409-03-004. Omni-QALAS: Optimized Multiparametric Imaging for Simultaneous T1, T2 and Myelin Water Mapping Shizhuo Li, Unay Dorken Gallastegi, Shohei Fujita, Yuting Chen, Pengcheng Xu, Kwok-Shing Chan, Borjan Gagoski, Yangsean Choi, Jiye Kim, Gian Franco Piredda, Tom Hilbert, Jongho Lee, Huihui Ye, Huafeng Liu, Berkin Bilgic, Yohan Jun Zhejiang University, Hangzhou, China Impact: Omni-QALAS enables fast (3.5 min), accurate multi-parametric T₁, T₂, and MWF mapping, making comprehensive quantitative neuroimaging feasible in research and clinical studies. Additionally, this framework can simultaneously optimize multiple parameters and is applicable to the optimization of other sequences.
14:24		409-03-005. Improved QQ-based Oxygen Extraction Fraction Mapping through Temporal Signal Evaluation Modeling: QQ-S Liukailai Ding, Junghun Cho George Washington University, Washington, United States of America Impact: The proposed QQ-S enables accurate OEF estimation in both healthy tissue and stroke lesions by modeling the temporal evolution of magnitude signals. QQ-S can be applied to investigate oxygen-related pathophysiology in neurological diseases and to evaluate the efficacy of treatments.
14:35		409-03-006. Distortion-Compensated 3D Quantitative MRI in a Highly Inhomogeneous Ultra Compact 72 mT Permanent Magnet System Gabriel Zihlmann, Dinank Gupta, Najat Salameh, Mathieu Sarracanie, Clarissa Cooley University of Aberdeen, Aberdeen, United Kingdom Impact: We demonstrated spin-echo based multiparametric quantitative MRI in a highly inhomogeneous, 35-kg portable low-field head magnet. We additionally addressed image distortion through rapid generalized reconstruction. This work shows the potential of T₁ and T₂ mapping in future point-of-care MRI systems.
14:46		409-03-007. TrueFISP Multitasking with eddy-correcting networks for T1-T2 mapping at 1.5T Xiangliang Huang, Lingceng Ma, Xinguo Fang, Fei Han, Anthony Christodoulou David Geffen School of Medicine at UCLA, Los Angeles, United States of America Impact: This study demonstrates that quantitative MR Multitasking is feasible at 1.5 T, increasing accessibility to quantitative cardiac imaging for routine clinical use.
14:57		409-03-008. Integrating SyPSIR into EMVI scoring improves vascular invasion detection and metastasis risk stratification in rectal cancer Yuxi Ge, Xiaofei Wu, Jiankun Dai, Shudong Hu Affiliated Hospital of Jiangnan University, Wuxi, China Impact: The modified EMVI scoring system outperformed conventional methods in EMVI detection and metastasis prediction. The integrated nomogram provides robust 3-year metastasis-free survival prediction, enabling better identification of high-risk patients requiring neoadjuvant treatment intensification.
15:08		409-03-009. Real-World Validation of Automated 3D-MRF Classification for Alzheimer's Diagnosis Andrew Dupuis, Sree Gongala, Rasim Boyacioglu, Chaitra Badve, Mark Griswold Case Western Reserve University, Cleveland, United States of America Impact: Whole-brain quantitative patterns from 3D-MRF provide robust Alzheimer's disease signatures with high sensitivity and specificity. This prospective validation using locked classification parameters will demonstrate whether fully-automated processing maintains diagnostic performance in routine practice, enabling translation to clinical deployment without retuning.
15:19		409-03-010. Mapping Personalized Thalamic Microstructural Pathology in Multiple Sclerosis Using Quantitative MRI-Based Normative Modeling Xinjie Chen, Mario Ocampo-Pineda, Po-Jui Lu, Alessandro Cagol, Matthias Weigel, Kwok-Shing Chan, Marcel Zwiers, Jens Kuhle, Ludwig Kappos, Lester Melie-Garcia, José Marques, Cristina Granziera Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland Impact: This thalamus-focused qMRI normative study enables precise, individualized quantification of multiple sclerosis pathology. Personalized z-scores align strongly with disability and biomarkers of neuroaxonal damage, supporting progression monitoring.