Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
466-05-011 ISMRM Abstract

AI-Enhanced Segmentation Improves Quantitative Brain Volumetry in 64 mT MRI of Infants Under One Year

Primary: Analysis Methods - Segmentation and Detection
Secondary: Acquisition & Reconstruction - AI methods
466-05-011 · Pediatric Low Field MRI · Tuesday, 12 May, 4:00 PM–4:55 PM · Digital Posters Row G
Keywords: Ultra-Low-Field MRI Deep Learning Segmentation Infant brain MRI Paediatric neuroimaging 3T MRI
Accepted
Sadia Parkar1, Nadia Mazhar1, Kulsoom Khan1, Hira Manzoor 1, Safina Sarwar1, Salman Osmani1, Niall J Bourke2, František Váša3, Marius Linguraru4,5, Natasha Lepore6,7, Sean Deoni8, Sidra Kaleem1
1Department of Paediatrics and Child Health, Aga Khan University Hospital, Pakistan, Pakistan
2Centre For Neuroimaging Sciences, Department of Neuroimaging, Kings College London, London, United Kingdom
3Neuroimaging, King's College London, London, United Kingdom
4Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, United States of America
5Departments of Radiology and Pediatrics, School of Medicine and Health Sciences,, George Washington University, Washington, United States of America
6CIBORG Lab, Department of Radiology & Biomedical Engineering, Children’s Hospital Los Angeles, LA, United States of America
7Departments of Radiology and Biomedical Engineering, University of Southern California, Los Angeles, United States of America
8Gates Foundation, Seattle, United States of America
Presenting Author: Hira Manzoor

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References

1. Banerjee A, Blasiak B, Dash A, Tomanek B, van Veggel FC, Trudel S. High-field magnetic resonance imaging: Challenges, advantages, and opportunities for novel contrast agents. Chemical Physics Reviews. 2022;3(1). https://doi.org/10.1063/5.0064517 [doi]
2. Altaf A, Shakir M, Irshad HA, Atif S, Kumari U, Islam O, et al. Applications, limitations, and advancements of ultra-low-field magnetic resonance imaging: a scoping review. Surgical Neurology International. 2024;15:218. https://doi.org/10.25259/SNI_162_2024 [doi]
3. Arnold TC, Freeman CW, Litt B, Stein JM. Low‐field MRI: clinical promise and challenges. Journal of Magnetic Resonance Imaging. 2023;57(1):25-44. https://doi.org/10.1002/jmri.28408 [doi]
4. Kofler A, Si D, Schote D, Botnar RM, Kolbitsch C, Prieto C. MR imaging in the low-field: Leveraging the power of machine learning. arXiv preprint arXiv:250117211. 2025. https://doi.org/10.48550/arXiv.2501.17211 [doi]
5. Surani Z, Parkar S, Afshan G, Elahi KN, Hoodbhoy Z, Hilal K, et al. Maternal and environmental impact assessment on neurodevelopment in early childhood years (MINE): a prospective cohort study protocol from a low- and middle-income country. BMJ Open. 2023;13(7):e070283. https://doi.org/10.1136/bmjopen-2022-070283 [doi]

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http://echo.ismrm.org/p/ISMRM2026/466-05-011