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

Oral

Low Field MRI Applications

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Low Field MRI Applications
Oral
Physics & Engineering
Thursday, 14 May 2026
Auditorium 2
16:00 - 17:50
Moderators: Berit Verbist & Guillermo Sahonero-Alvarez
Session Number: 606-03
CME/CE Credit Available
Clinical applications of low and ultra low field MRI
Skill Level: Intermediate

16:00 Figure 606-03-001.  Antenatal Maternal Anaemia and Infant Brain Structure: High (3T) and Ultra-Low-Field (64mT) MRI Findings from South Africa
Summa Cum Laude
Jessica Ringshaw, Michal Zieff, Niall Bourke, Chiara Casella, Layla Bradford, Simone Williams, Donna Herr, Marlie Miles, Carly Bennallick, Khula South Africa Data Collection Team, Sean Deoni, Jonathan O'Muircheartaigh, Dan Stein, Daniel Alexander, Derek Jones, Steven Williams, Kirsten Donald
University of Cape Town, Cape Town, South Africa
Impact: This study demonstrates that the impact of maternal anaemia on child brain structure is detectable as early as infancy, with effects emerging at 1 year of age. Findings inform the feasibility of ULF MRI and need for optimising anaemia interventions.
16:11 Figure 606-03-002.  Enhanced Ultra Low-Field Diffusion Tensor Imaging with Direction-Dependent Bias Correction and Spatio-Angular Superresolution
Mark Olchanyi, Annabel Sorby-Adams, John Kirsch, Brian Edlow, Ava Farnan, Matthew Rosen, Emery Brown, W. Taylor Kimberly, Juan Iglesias
Massachusetts Institute of Technology, Cambridge, United States of America
Impact: Post-processing correction and recovery methods to enhance low-field diffusion tensor imaging sequences can facilitate accurate mapping of white matter microstructure in the human brain via portable MRI.
16:22 Figure 606-03-003.  Ultra-Low-Field NMR Relaxometry Reveals Anti-Invasive Effects of Bumetanide in Glioblastoma mouse model.
Simona Baroni, Sahar Rakhshan, Michèle El-Atifi, Ayda Zarechian Soudani, Lionel Broche, Francois Berger, Simonetta Geninatti Crich, Hana Lahrech
University of Torino, Torino, Italy
Impact: 
The detection of bumetanide treatment effects using FFC-NMR relaxometry demonstrates its potential as a therapy for brain glioma. The contrast mechanism shown here also makes it possible to monitor the treatment non-invasively using Field-Cycling Imaging or low-field MRI systems.
16:33 Figure 606-03-004.  Infant Brain Growth from Portable uLF MRI in LMICs: Site, Sex, and Nutrition Effects in the First 1,000 Days
AMPC Selected
Sidra Kaleem, Victoria Nankabirwa, Samuel Oppong, Sadia Parkar, Maclean Vokhiwa, Krithika Iyer, Jeffrey Tanedo, Rahimeh Rouhi, Taylor Broudy, Niall Bourke, Kirsten Donald, Steven Williams, Sean Deoni, Natasha Lepore, Marius Linguraru, Austin Tapp
Aga Khan University, Kenya
Impact: By enabling population-based infant brain growth charts from portable ultra-low-field MRI across LMIC sites, this work supports earlier, equitable neurodevelopmental surveillance and evaluation of nutrition and perinatal programs, guiding evaluation of interventions when high-field MRI is unavailable or impractical.
16:44 Figure 606-03-005.  Generalization of low-field 3D MRI acceleration via the CIRIM network across knee, spine and brain
Magna Cum Laude
Desirée van den Berg, Rosario Varriale, Fabrizio Ferrando, Paolo Traverso, Luca Balbi, Rita Pasini, Giacomo Belgiorno, Stefano Zampini, Matthan Caan, Gustav Strijkers
Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
Impact: CIRIM deep learning reconstruction enables substantial scan time reduction in low-field MRI. By successfully accelerating 3D knee and spine imaging and generalizing across anatomies and fieldstrength, CIRIM demonstrates robust performance, advancing the practical use of accelerated reconstruction in low-field MRI.
16:55 Figure 606-03-006.  AUTOSEQ-based Magnetic Resonance Fingerprinting at 6.5 mT: A Framework for Low-Field Quantitative Breast Imaging
Huaijin Gao, Sheng Shen, Stephen Ogier, David Korenchan, Mansi Saksena, Matthew Rosen, Kathryn Keenan, Neha Koonjoo
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Impact: AUTOSEQ-based MR Fingerprinting at 6.5 mT provides accurate, reproducible T1/T2 measurements in breast-mimicking phantoms, validating the feasibility of quantitative relaxation measurements at ultra-low field and establishing a foundation for spatially resolved, low-cost breast imaging for point-of-care and early detection applications.
17:06 Figure 606-03-007.  Ultra-low-field Lumbar Spine MRI at 0.05 Tesla
Zihao Jin, Vick Lau, Fan Huang, Xiang Li, Ye Ding, Alex T. L. Leong, Varut Vardhanabhuti, Yujiao Zhao, Ed X Wu
The University of Hong Kong, Hong Kong, China
Impact: This study demonstrates high-quality lumbar spine MRI on a 0.05 Tesla whole-body MRI scanner by leveraging advanced computational modelling and extensive high-field MRI data. These developments will facilitate a new class of affordable, patient-centric, and computing-powered MRI scanners.
17:17 Figure 606-03-008.  SuperField-Net2: Simultaneous T1w-T2w MRI Enhancement from T2w Ultra-Low-Field Imaging via Frequency-Attenuation
Austin Tapp, Can Zhao, Krithika Iyer, Taylor Broudy, Jeffrey Tanedo, Rahimeh Rouhi, Syed Anwar, Daguang Xu, Niall Bourke, Steven Williams, Kirsten Donald, Sean Deoni, Natasha Lepore, Marius Linguraru
Children's National Hospital, Washington DC, United States of America
Impact: SFNet2 enhances a single T2w uLF MRI scan into HF-like paired T1w and T2w images, improving image quality, resolution, and utility. SFNet2 could shorten MRI scan time, enable multi-sequence imaging on portable scanners, and expand point-of-care neuroimaging in resource-limited settings.
17:28 Figure 606-03-009.  The (Statistical) Power of Low Field MRI: Reliability and Repeatability of Diffusion MRI at 64 mT
William Royer, James Gholam, Rui Pedro Teixeira, Rafael O'Halloran, Mara Cercignani, Derek Jones, Emre Kopanoglu
Cardiff University, Cardiff, United Kingdom
Impact: Sample size calculations show that portable ultra-low-field diffusion MRI can enable population neuroscience and epidemiological studies, extending advanced neuroimaging to underserved populations beyond the reach of conventional high-field scanners.




17:39 Figure 606-03-010.  Low-field knee MRI in the clinical setting: a comparative study of a 72 mT prototype and a clinical 3T scanner
Marina Fernández-García, Elisa Castañón, Teresa Guallart Naval, Amadeo Ten Esteve, Sonia Ginés-Cárdenas, Jose Borreguero, David Castro-Vidal, Luiz Guilherme Santos, Jesús Conejero, Cristina Ferrando-Juan, Basilio Mateo-Quiñonero, Pilar Morcillo-Toledo, Eduardo Pallás, Nerea Santágueda-Almansilla, Verónica Sapiña-Ruiz, Lucas Swistunow, Nelida Tordera-Cortell, Lorena Vega Cid, José Algarín, Fernando Galve, Luis Martí-Bonmatí, Joseba Alonso
Institute for Molecular Imaging and Instrumentation (i3M), Consejo Superior de Investigaciones Científicas & Universitat Politècnica de València, Valencia, Spain
Impact: This work presents a paired low- and high-field knee MRI study, creating a clinical dataset for comparison and for developing deep-learning-based image enhancement methods. Common knee lesions were identifiable by radiologists in an initial evaluation.

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