Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
562-01-004 ISMRM Abstract

Comparison of 129-Xenon ventilation MRI protocols at 1.5T and 3T

Primary: Contrast Mechanisms - Hyperpolarized MR (Gas)
Secondary: Body - Lung
562-01-004 · Lung and Thoracic Oncological MRI · Wednesday, 13 May, 8:20 AM–9:15 AM · Digital Posters Row C
Keywords: Lung Ventilation Xenon-129 Field strength comparison
Accepted
Yves D Brown 1, Guilhem J Collier1,2,3, Alberto M Biancardi1,3, Neil J Stewart1,3, Laurie Smith1,2, Jim Wild1,2,3
1POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, The University of Sheffield, Sheffield, United Kingdom
2The University of Sheffield, Sheffield, United Kingdom
3INSIGNEO Institute for In Silico Medicine, The University of Sheffield, Sheffield, United Kingdom
Presenting Author: Yves D Brown

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References

1. H. Marshall et al., ‘Detection of early subclinical lung disease in children with cystic fibrosis by lung ventilation imaging with hyperpolarised gas MRI’, Thorax, vol. 72, no. 8, pp. 760–762, Aug. 2017, doi: 10.1136/thoraxjnl-2016-208948. [doi]
2. N. J. Stewart, G. Norquay, P. D. Griffiths, and J. M. Wild, ‘Feasibility of human lung ventilation imaging using highly polarized naturally abundant xenon and optimized three-dimensional steady-state free precession’, Magn. Reson. Med., vol. 74, no. 2, pp. 346–352, 2015, doi: 10.1002/mrm.25732. [doi]
3. P. J. Niedbalski et al., ‘Protocols for multi-site trials using hyperpolarized 129Xe MRI for imaging of ventilation, alveolar-airspace size, and gas exchange: A position paper from the 129Xe MRI clinical trials consortium’, Magn. Reson. Med., vol. 86, no. 6, pp. 2966–2986, 2021, doi: 10.1002/mrm.28985. [doi]
4. F. Bertin et al., ‘A Deep-Learning Approach to Hyperpolarised-Gas MR Image Segmentation’, BioMedEng21, p. 201, 2021.
5. F. Bertin et al., ‘Simultaneous segmentation of airways and ventilated lung in hyperpolarised-gas MR images by deep learning’, 29th Annu. Meet. ISMRM, vol. 3226, 2021.
6. A. Biancardi et al., ‘A paired approach to the segmentation of proton and hyperpolarized gas MR images of the lungs’, 26th Annu. Meet. ISMRM, vol. 2442, 2018.
7. G. J. Collier et al., ‘Linear binning maps for image analysis of pulmonary ventilation with hyperpolarized gas MRI: transferability and clinical applications’, Jt. Annu. Meet. ISMRM-ESMRMB, p. 4482, 2018.
8. L. J. Smith et al., ‘Patterns of regional lung physiology in cystic fibrosis using ventilation magnetic resonance imaging and multiple-breath washout’, Eur. Respir. J., vol. 52, no. 5, Nov. 2018, doi: 10.1183/13993003.00821-2018. [doi]
9. M. H. Deppe et al., ‘Susceptibility effects in hyperpolarized 3He lung MRI at 1.5T and 3T’, J. Magn. Reson. Imaging, vol. 30, no. 2, pp. 418–423, 2009, doi: 10.1002/jmri.21852. [doi]

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http://echo.ismrm.org/p/ISMRM2026/562-01-004