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

Digital Poster

Low Field Applications and Systems

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Low Field Applications and Systems
Digital Poster
Physics & Engineering
Tuesday, 12 May 2026
Digital Posters Row J
09:15 - 10:10
Session Number: 469-02
No CME/CE Credit
New encoding approaches, techniques, and community resources for low field MRI

  Figure 469-02-001.  Design and Construction of Gradient Coils for Low-field Halbach Array Scanners using the Discrete Wire Method
Haile Kassahun, Nayebare Maureen, Timon Machtelinckx, Sipan Hovsepian, Ali Akbarzadeh-Sharbaf, Guillermo Sahonero-Alvarez, Marina Fernández-García, David Rodriguez-Duarte, Mayinja Bob, Ihssene Brahimi, Kidist Kebede, Jennifer Mifatu, Maruf Adewole, Confidence Raymond, Pedram Yazdanbakhsh, Johnes Obungoloch, Osama Abdullah, Stefan du Plessis, Udunna Anazodo
McGill University, Montreal, Canada
Impact: 

A discrete wire approach was used to design gradient coils for low-field Halbach array animal scanners. Results showed that optimizations of coil efficiency, location, and shape of the coils could result in efficient gradient coils for preclinical Halbach array scanners.
  Figure 469-02-002.  A robust and sub-array interchangeable rotation mechanism for gradient coil-free portable MRI
David Ticacala Obregon, Ming Yew Looi, shaoying huang
Singapore University of Technology and Design, Singapore, Singapore
Impact: A robust mechanical design is proposed for a gradient-coil-free portable MRI using a rotating cylindrical magnet array for encoding. It allows attaching and detaching of an encoding gradient-magnet array with rotating angle accuracy. This will make manufacturability easier and faster.
  Figure 469-02-003.  Design Methodology for SENF Hardware Systems: Enabling Low-Cost, Portable MRI Through RF-Based Spatial Encoding
Reid Bolding, Christopher Vaughn, Jessie EP Sun, William Grissom, Mark Griswold
Case Western Reserve University, Cleveland, United States of America
Impact: A systematic design framework for Selective Excitation through Nutation and Fingerprinting (SENF) enables gradient-free MRI systems with reduced cost, eliminated acoustic noise, and portable form factors, potentially expanding magnetic resonance imaging access to low-resource settings and point-of-care applications.
  Figure 469-02-004.  Swept RF pulse design considerations for highly inhomogeneous low-field MRI scanners
Dinank Gupta, Martin Hurlimann, Jason Stockmann, Lawrence Wald, Clarissa Cooley
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Impact: Portable and compact MRI systems suffer from severe B0/B1 inhomogeneities that degrade image quality. The CHORUS-RARE sequence provides exceptional robustness to such variations, enabling reliable imaging in compact or single-sided scanners where conventional methods fail to compensate for field nonuniformity.
  Figure 469-02-005.  Sustainable Health Innovation: Solar-Powered MRI for affordable healthcare in Resource-Limited Settings
Michael Papasavva, Gebeyehu Abate, Joe Piper, Andrew Prendergast, Cynthia Kahari, Lisa Langhaug, Loyce Musiiwa, Anabel Mutero, Hajer Karoui, Carly Bennallick, Petter Clemensson, Vincent Giampietro, Ricardo Twumasi, Sean Deoni, Steven Williams, Niall Bourke
Queen Mary University, London, United Kingdom
Impact: Ultra-low-field scanners can be run on sustainable energy sources: Providing renewable energy ensures continuity of MRI scans under real-world rural conditions.
  Figure 469-02-006.  A low-field MRI toolkit for hands-on MRI education: A pilot implementation at the 2025 ESMRMB Workshop.
Nayebare Maureen, Marina Fernández-García, Guillermo Sahonero-Alvarez, Sipan Hovsepian, Beatrice Lena, Timon Machtelinckx, Mayinja Bob, Noha Magdy Zayed, Mohannad Barakat, Ali Akbarzadeh-Sharbaf, Pedram Yazdanbakhsh, Christophe Vilmen, Joseba Alonso, Andrew Webb, Osama Abdullah, Johnes Obungoloch, Haile Kassahun, Stefan du Plessis, Udunna Anazodo
McGill University, Montreal, Canada
Impact: Open-source tools for teaching MRI engineering and physics such as ERNIE can rapidly advance MRI knowledge through experiential learning, promoting accessibility, innovation, and collaboration in democratizing MRI.
  Figure 469-02-007.  The Low-Field MRI Cookbook: A Recipe for Safe Deployment Beyond the Research Facility
Beatrice Lena, Ruben van den Broek, Nick de Jong, Jacinta Maas, Mark de Jong, Lisette Kloosterboer, Jaimy Plugge, Thomas Ruytenberg, Tom O'Reilly, Andrew Webb
Leiden University Medical Center, Leiden, Netherlands
Impact: This practical “recipe” guides safe deployment of low-field MRI in clinical settings, including but not limited to reproducible strategies for mechanical, electromagnetic, and implant safety.
  Figure 469-02-008.  Cloud-based processing for advanced reconstruction and denoising in low-field MRI
Teresa Guallart Naval, John Stairs, Hui Xue, José Algarín, Pablo Benlloch, Jose Borreguero, Elisa Castañón, Jesús Conejero, Fernando Galve, Pablo García-Cristóbal, Laia Porcar, Steven Schiff, Lucas Swistunow, Michael Hansen, Joseba Alonso
Institute for Molecular Imaging and Instrumentation (i3M), Valencia, Spain
Impact: Embedding cloud reconstruction within the acquisition workflow removes local hardware constraints, enabling complex reconstruction pipelines to run seamlessly in parallel with ongoing acquisitions and deliver results in near real time.
  Figure 469-02-009.  Automated Open-Source Quality Control Procedures for Low-field MRI
Helge Herthum, David Schote, Ilia Kulikov, Jan Gregor Frintz, Sebastian Schachel, Christian Engler, Tobias Mohr, Stefan Hetzer, Christoph Kolbitsch, Lukas Winter
Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
Impact: This open-source, automated QC protocol enables reproducible performance monitoring and cross-system comparisons in low-field MRI, addressing environmental and hardware-induced variability to support decentralized scanner development and reliable imaging in emerging low-field applications.
  Figure 469-02-010.  A wearable, flexible, and stretchable RF coil for enhanced knee imaging in a low-field portable MRI scanner
Jesús Conejero, Marina Fernández-García, Teresa Guallart Naval, Jose Borreguero, Elisa Castañón, Eduardo Pallás, José Algarín, Fernando Galve, Joseba Alonso
Institute for Molecular Imaging and Instrumentation (i3M), Consejo Superior de Investigaciones Científicas & Universitat Politècnica de València, Valencia, Spain
Impact: Our novel wearable knee RF coil enables significantly higher SNR and improved patient comfort in low-field MRI, facilitating more reliable lesion detection. This advancement could expand clinical adoption of portable scanners for extremities and inspire further development of stretchable coils.
  Figure 469-02-011.  Democratizing Brain Digital Twins: ultra-low-field MRI and EEG enable physiological alpha-band detection
Roberta Lorenzi, James Gholam, Anita Monteverdi, Fulvia Palesi, Claudia Casellato, Egidio D’Angelo, Derek Jones, Marco Palombo, Mara Cercignani, Claudia Gandini Wheeler-Kingshott
University of Pavia, Pavia, Italy
Impact: Brain digital twins (BDT) reproduce individual brain dynamics and treatment effects in-silico, leveraging high-field MRI. Our new prototype technology, combining ultra-low-field MRI and EEG, can extend BDTs to low-resource settings, enabling a broader access to personalized neurology.
  Figure 469-02-012.  An Autonomous Digital Twin Agent for the Parametric Design and Validation of Halbach Array Magnets for Low-Field MRI
Leo Kinyera, Ivan Etoku Oiye, Ananth Geethanath, Johnes Obungoloch, Sairam Geethanath
MBARARA UNIVERSITY OF SCIENCE AND TECHNOLOGY, MBARARA, Uganda
Impact: This work presents an autonomous agent that automates Halbach array design for low-field MRI1. By reducing design cycles from days to minutes, it enables extensive parameter optimization and accelerates the development of new, accessible MRI systems.
  Figure 469-02-013.  Hard-tissue imaging with ZTE in a 90 mT Halbach scanner.
Jose Borreguero, Luiz Guilherme Santos, Lorena Vega Cid, Elisa Castañón, Marina Fernández-García, Pablo Benlloch, Rubén Bosch, Jesús Conejero, Pablo García-Cristóbal, Teresa Guallart Naval, Eduardo Pallás, Laia Porcar, Lucas Swistunow, José Algarín, Fernando Galve, Joseba Alonso
Institute for Molecular Imaging and Instrumentation (i3M), Consejo Superior de Investigaciones Científicas & Universitat Politècnica de València, Valencia, Spain
Impact: This work extends the toolbox of possibilities of Halbach MRI devices to include hard-tissue visualization, which was thus far never reported in vivo at low field strengths (< 0.3 T).
  Figure 469-02-014.  Visualization of Post-Contrast Enhancement in Ultra-Low Field MRI
Silvina Horovitz , Habeeb Kazimuddin, Ajay Pathakamuri, Kendyl Bree, Lucia Calucci, Giacomo Parigi, Surdarshan Ragunathan, Govind Nair
National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, United States of America
Impact: Our data demonstrate that is feasible to observe blood-brain barrier disruptions with signal change post MRI contrast agent (CA) administration at ultra-low-field (ULF). This, together with optimized sequences promise expanding the use of ULF in neuroradiology and improve patients’ outcomes.
  Figure 469-02-015.  Active EMI Sensing and Cross-Domain Deep Learning Direct MR Signal Prediction for RF Shielding-Free MRI
Jiahao Hu, Yujiao Zhao, Alex T. L. Leong, Ed X Wu
The University of Hong Kong, Hong Kong, China
Impact: This study presents a Deep-DSP2 method, which achieves effective EMI elimination and demonstrates enhanced robustness in scenarios where dynamically varying transfer functions occur during scanning, paving the way for truly RF shielding-free MRI and making it valuable for point-of-care applications.

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