Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
466-03-004 Registered Abstract

Multicenter Assessment of Open-MOLLI: A Cross-Vendor T1 Mapping Study

Primary: Acquisition & Reconstruction - Open source software, sequences, and reconstruction algorithms
Secondary: Acquisition & Reconstruction - Quantitative Imaging: chest, abdomen, and pelvis
466-03-004 · Pulse Sequences with a Focus on Quantitative Imaging · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row G
Keywords: Heart Open-source software Open-MOLLI Myocardial T1-mapping Multi-vendor
Accepted
Andreia S Gaspar1, Neil J Stewart2,3, Jon-Fredrik Nielsen4,5, Chenwei Tang6,7,8, Paul J Hughes2,3, Martin Schwartz9, Simon Thalén6,7,8, Carlos A Castillo-Passi6,7,8, Daniel B Ennis6,7,8, Jim Wild2,3, Thomas Küstner10, Teresa M Correia11,12, Rita G Nunes 1
1Institute for Systems and Robotics – Lisboa and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
2INSIGNEO Institute for In Silico Medicine, The University of Sheffield, Sheffield, United Kingdom
3POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, The University of Sheffield, Sheffield, United Kingdom
4Department of Biomedical Engineering, University of Michigan, Ann Arbor, United States of America
5Functional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, United States of America
6Department of Radiology, Stanford University, Stanford, United States of America
7Cardiovascular Institute, Stanford University, Stanford, United States of America
8Division of Radiology, Veterans Administration Health Care System, Palo Alto, United States of America
9Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany
10Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany
11Quantitative Bio-Imaging Lab, Centre of Marine Sciences, Universidade do Algarve, Faro, Portugal
12School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
Presenting Author: Rita G Nunes

Synopsis

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References

1. Karakuzu A, et al. Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI. Magn Reson Med. 2022;88(3):1212–28. doi:10.1002/mrm.29292 [doi]
2. Tong G, et al. A framework for validating open-source pulse sequences Magn Reson Imaging. 2021;87:7-18. doi:10.1016/j.mri.2021.11.014 [doi]
3. Kellman P, Hansen MS. T1-mapping in the heart: accuracy and precision. J Cardiovasc Magn Reson. 2014; 16: 2.doi: 10.1186/1532-429X-16-2 [doi]
4. Teixeira RPAG, Neji R, Wood TC, Baburamani AA, Malik SJ, Hajnal JV. Controlled saturation magnetization transfer for reproducible multivendor variable flip angle T1 and T2 mapping. Magn Reson Med. 2020; 84: 221-236. doi: 10.1002/mrm.28109 [doi]
5. Messroghli DR, Moon JC, Ferreira VM, et al. Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). Journal of Cardiovascular Magnetic Resonance. 2016;19(1):75. doi:10.1186/s12968-017-0389-8 [doi]
6. Layton KJ, et al. Pulseq: A rapid and hardware-independent pulse sequence prototyping framework. Magn Reson Med. 2017;77:1544-1552. doi:10.1002/mrm.26235 [doi]
7. Gaspar AS, Silva NA, Ferreira AM, Nunes RG. Repeatability of Open-MOLLI: An open-source inversion recovery myocardial T1 mapping sequence for fast prototyping. Magn Reson Med. 2024; 1-10. doi: 10.1002/mrm.30080 [doi]
8. Messroghli DR, et al. Optimization and validation of a fully-integrated pulse sequence for modified look-locker inversion-recovery (MOLLI) T1 mapping of the heart. J Magn Reson Imaging. 2007;26(4):1081-1086. doi:10.1002/jmri.21119 [doi]
9. Nielsen J.-F, Noll DC. TOPPE: A framework for rapid prototyping of MR pulse sequences. Magn Reson Med. 2018;79: 3128-3134. doi:10.1002/mrm.26990 [doi]
10. Gaspar AS, et al. In vivo T1-mapping using Open-MOLLI in GE scanners. 2025 ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM) , Honolulu, Hawaiʻi, USA, 10-15 May 2025, doi:10.5281/zenodo.15857339 [doi]
11. GE Healthcare, Pulseq on GE, (2025), GitHub repository, https://github.com/GEHC-External/pulseq-ge-interpreter

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http://echo.ismrm.org/p/ISMRM2026/466-03-004