Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
466-05-005 ISMRM Abstract

Assessment of retrospective distortion correction on infant brain volumetrics using 64mT T2 MRI in a low resource setting

Primary: Analysis Methods - Image Enhancement
Secondary: Pediatrics - Normal Development
466-05-005 · Pediatric Low Field MRI · Tuesday, 12 May, 4:00 PM–4:55 PM · Digital Posters Row G
Keywords: Ultra-Low-Field MRI Distortion correction Clinical trials
Accepted
Richard Beare 1,2, Steven Greenstein3, Maclean Vokhiwa4,5,6, Kamija S Phiri5,7, Unity Consortium, Marc L Seal3
1Murdoch Childrens Research Institute, Parkville, Australia
2Imaging and Bioinformatics, Peninsula Clinical School, School of Translational Medicine, Monash University, Australia
3Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, Australia, Australia
4Paediatrics, Kamuzu University of Health Sciences, Blantyre, Malawi
5Training and Research Unit of Excellence, Blantyre, Malawi
6Neuroscience, Training and Research Unit of Excellence, Blantyre, Malawi
7Kamuzu University of Health Sciences, Blantyre, Malawi
Presenting Author: Richard Beare

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References

1. Avants B, Epstein C, Grossman M, Gee J. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain. Medical Image Analysis. 2008;12(1):26-41. doi:10.1016/j.media.2007.06.004 [doi]
2. Ljungberg E, Padormo F, Poorman M, et al. Characterization of Portable Ultra‐Low Field MRI Scanners for Multi‐Center Structural Neuroimaging. Human Brain Mapping. 2025;46(8):e70217. doi:10.1002/hbm.70217 [doi]
3. Wood SN. Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models. Journal of the American Statistical Association. 2004;99(467):673-686. doi:10.1198/016214504000000980 [doi]
4. Ebner M, Wang G, Li W, et al. An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. NeuroImage. 2020;206:116324. doi:10.1016/j.neuroimage.2019.116324 [doi]
5. Billot B, Greve DN, Puonti O, et al. SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. Medical Image Analysis. 2023;86:102789. doi:10.1016/j.media.2023.102789 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/466-05-005