Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Pediatric Low Field MRI

Digital Poster

Pediatrics

Tuesday, 12 May 2026

Digital Posters Row G

16:00 - 16:55

Session Number: 466-05

No CME/CE Credit

Similar Sessions

This session explores use of low-field and ultra-low field MRI in pediatrics and fetal imaging. Topics range from the pre-work needed to implement low-field MRI in pediatrics to applications in brain, lung, body, and fetal/placental imaging.

		466-05-001. Patient and Family Perspectives on Point-of-Care Low-Field Brain MRI for Children in the ED, ICU, and Hospital Setting Christina Lee, Jason Toliao, Kayla Guzman, Samantha Lozano, Payal Shah, Frank Gonzalez, Marvin Nelson, Chia-Shang Liu, Bradley De Souza, Ryan Spurrier, Peter Chiarelli, Pradip Chaudhari, Natasha Lepore Children's Hospital Los Angeles, Los Angeles, United States of America Impact: Patients and families reported comfort and preference for bedside, point-of-care low-field MRI (POC LF-MRI) over conventional neuroimaging, emphasizing reduced radiation exposure and improved accessibility. Findings highlight patient/family support for POC LF-MRI implementation in acute pediatric care.
		466-05-002. Towards Pediatric Imaging at 0.55T: Non-contrast, Gadolinium, and Ferumoxytol Enhanced 3D MR Angiography in a Porcine Model Salman Pervaiz, Katherine Binzel, Kan Hor, Rajesh Krishnamurthy, Orlando Simonetti, Juliet Varghese The Ohio State University Wexner Medical Center, Columbus, United States of America Impact: This study demonstrates the feasibility of 3D iNAV MRA, with and without contrast, at 0.55T, providing a promising approach for pediatric imaging, where achieving adequate motion compensation and minimizing artifacts remain significant challenges.
		466-05-003. LoMINA-SC: Low-field Pediatric Brain MR Image Segmentation Using Deep Neural Artificial Intelligence– Sub-Cortical Rahimeh Rouhi, Jeffrey Tanedo, Di Fan, Lauren Lee, Austin Tapp, Krithika Iyer, Niall Bourke, Victoria Nankabirwa, Sadia Parkar, Salman Osmani, Sidra Kaleem, Steven Williams, Kirsten Donald, Sean Deoni, Marius Linguraru, Natasha Lepore CIBORG Lab, Radiology Research Department, Children’s Hospital Los Angeles, Los Angeles, United States of America Impact: LoMINA-SC enables accurate subcortical segmentation from ultra-low-field (uLF) pediatric MRI, broadening neuroimaging access in low-resource settings where high-field scanners are scarce. This work opens new opportunities for population-level studies and early diagnostic screening using portable, affordable imaging systems.
		466-05-004. Characterising neurodevelopment in low and middle-income settings with ultra-low field MRI. Firehiwot Abate, Kenneth Ae-Ngibise, Kwaku Asante, Florence AWEYO, Victor Akelo, Niall Bourke, Richard Beare, Chiara Casella, Sean Deoni, Kirsten Donald, Vanessa Cavallera, Tarun Dua, Laurel Gabard-Durnam, Bethany Freeman, Emmanuela Gakidou, Zahra Hoodbhoy, Margaret Kasaro, Sidra Kaleem, Hajer Karoui, AMNA KHAN, Patricia Kitsao-Wekulo, Beena Koshy, Anne Lee, Aksel Leknes, Natasha Lepore, Marius Linguraru, Russell Macleod, Yaw Mensah, Jonathan O'Muircheartaigh, Hans-Georg Müller, Victoria Namazzi, Margaret Nampijja, Gloria Nandudu, Victoria Nankabirwa, Solomon Nyame, Dickens Onyango, Samuel Oppong, Salman Osmani, Harun Owuour, Sadia Parkar, Joshua Proctor, Marc Seal, Emily Smith, Jamie Steinmetz, Austin Tapp, Jeffrey Tanedo, Maclean Vokhiwa, Steven Williams, Yidong Zhou, Muriel Bruchhage Addis Continental Institute of Public Health, Addis Ababa, Ethiopia Impact: Reliable prediction of cognitive development is critical for rapid early evaluation of maternal and child health interventions. Low-field MRI may fill this need, allowing interventions to be rapidly assessed, improved, and implemented to improve child “thrival” in LMIC settings.
		466-05-005. Assessment of retrospective distortion correction on infant brain volumetrics using 64mT T2 MRI in a low resource setting Richard Beare, Steven Greenstein, Maclean Vokhiwa, Kamija Phiri, Unity Consortium, Marc Seal Murdoch Childrens Research Institute, Parkville, Australia Impact: Our practical, retrospective distortion correction of ultra-low field MR images improves image quality and reduces scanner-dependant bias in brain volumetrics, allowing better pooling of normative developmental data from multiple low resource sites and improving accuracy of image processing pipelines
		466-05-006. Age-Specific Brain Templates from uLow-Field MRI to Enhance Pediatric Neuroimaging and Alignment in Resource Limited Settings Kulsoom Khan, Hira Manzoor, Sadia Parkar, Nadia Mazhar, Salman Osmani, Jeffrey Tanedo, Rahimeh Rouhi, Austin Tapp, Krithika Iyer, Marius Linguraru, Natasha Lepore, Sean Deoni, Sidra Kaleem Aga Khan University Hospital, Pakistan, Pakistan Impact: This work provides the first ultra-low-field (uLF), age-specific pediatric brain templates, enabling standardized analyses, improved registration accuracy, and enhanced comparability across studies using portable uLF MRI systems in diverse and resource-limited environments.
		466-05-007. Diagnostic Concordance of Point-of-Care Low-Field MRI with Clinical Neuroimaging for Pediatric Traumatic Brain Injury Pradip Chaudhari, Marvin Nelson, Chia-Shang Liu, Bradley De Souza, Christina Lee, Jason Toliao, Kayla Guzman, Samantha Lozano, Payal Shah, Frank Gonzalez, Ryan Spurrier, Peter Chiarelli, Natasha Lepore Children's Hospital Los Angeles, Los Angeles, United States of America Impact: POC LF-MRI achieved strong concordance with CT for identifying acute neuroradiographic abnormalities in children with head trauma, demonstrating data on bedside neuroimaging and potential to reduce pediatric radiation exposure.
		466-05-008. Predicting Longitudinal Impact of Neurodevelopmental Risk Factors on the Brain of Infants in Low to Middle Income Countries Ayo Zahra, Russell Macleod, Aksel Leknes, Victoria Nankabirwa, Michal Zieff, Simone Williams, Layla Bradford, Laurel Gabard-Durnam, Sidra Kaleem, Maclean Vokhiwa, Chiara Casella, Kirsten Donald, Jonathan O'Muircheartaigh, Muriel Bruchhage University of Stavanger, STAVANGER, Norway Impact: This study presents a longitudinal Gaussian process model that detects atypical brain growth in infants from low to middle-income countries, enabling early identification of neurodevelopmental delays linked to sociodemographic and physical risk factors to support individualized intervention in infant health.
		466-05-009. Feasibility of bedside ultra-low field MRI during therapeutic hypothermia for hypoxic-ischemic encephalopathy - phantom study Hugo Delvéus, Emelie Lind, Linda Nilsson, Margareta Gebka, David Ley, Emil Ljungberg, Pia Maly Sundgren, Finn Lennartsson Lund University, Lund, Sweden Impact: We show that portable bedside MRI using an ultra-low field system is feasible during therapeutic hypothermia, using a phantom model. This would be a new development in the care of neonatal hypoxic ischemic encephalopathy.
		466-05-010. Automated Skull-Stripping of Pediatric Low-Field T2-Weighted Brain MR Images Rahimeh Rouhi, Jeffrey Tanedo, Malia Valder, Austin Tapp, Krithika Iyer, Sean Deoni, Marius Linguraru, Natasha Lepore CIBORG Lab, Los Angeles, United States of America Impact: Our work enables reliable, automated skull-stripping for pediatric and ultra–low-field (uLF) MRI, substantially reducing manual effort and improving the consistency of brain extraction. Automated skull-stripping will facilitate more efficient and reproducible analysis of brain parenchyma in pediatric neuroimaging studies.
		466-05-011. AI-Enhanced Segmentation Improves Quantitative Brain Volumetry in 64 mT MRI of Infants Under One Year Sadia Parkar, Nadia Mazhar, Kulsoom Khan, Hira Manzoor, Safina Sarwar, Salman Osmani, Niall Bourke, František Váša, Marius Linguraru, Natasha Lepore, Sean Deoni, Sidra Kaleem Aga Khan University Hospital, Pakistan, Pakistan Impact: Deep learning segmentation increases quantitative reliability of infant low-field MRI, advancing accessible neuroimaging in early brain development.
		466-05-012. Functional Lung Imaging in Premature Infants With Bronchopulmonary Dysplasia at 0.55T Eamon Doyle, Xin Miao, Roberta Kato, Narayan Iyer Children's Hospital Los Angeles, Los Angeles, United States of America Impact: This work suggests that non-invasive pulmonary MRI may assist with prognostication for patients with bronchopulmonary dysplasia.
		466-05-013. Comprehensive 0.55T MRI for Non-Invasive Assessment of Pediatric Bowel Morphology and Motility in Chronic Constipation Michael Kitzberger, Frederike Bieling, Jordina Aviles Verdera, Sandy Schmidt, Michael Uder, Andreas Rowald, Sonja Diez, Jana Hutter Uniklinikum Erlangen, Erlangen, Germany Impact: This study establishes a comprehensive 0.55T MRI protocol for children with chronic obstipation, enabling radiation-free assessment of bowel motility and microstructure. Our findings demonstrate feasibility and first indications that treatment responsiveness can be measured
		466-05-014. Placental Diffusion MRI at 0.55T in Late Gestation Fetal Study Kamilah St Clair, Sara Neves Silva, Jordina Aviles Verdera, Hadi Waheed, Vanessa Kyriakopoulou, Alena Uus, Jana Hutter, MARY RUTHERFORD King's College London, London, United Kingdom Impact: Understanding placental diffusion is key to maternal–fetal wellbeing and delivery planning. This study establishes late-gestation diffusion behaviour at 0.55T, advancing accessible, low-field MRI as a tool for assessing placental health in women for whom high-field imaging is less feasible.
		466-05-015. MRI in Clinical Practice: Low-Field Detection of Dandy–Walker Syndrome in an Infant Born to an Anaemic Mother in Rural Ghana Lawrencia Yamba, Lawrence Asare Kintampo Health Research Centre, Kintampo, Ghana Impact: Low-field portable MRI enabled the first in-field diagnosis of Dandy–Walker syndrome in a Ghanaian infant born to an anaemic mother, directly altering patient management and demonstrating how accessible MRI can transform clinical neurodiagnostics in underserved regions.