Abstract #0697

Automated segmentation of calibration regions for pediatric whole brain T1- and T2-weighted ratio myelin mapping

Jian Chen¹, Joseph Yuan-Mou Yang^1,2,3, Michelle Hao Wu⁴, Simone Mandelstam^4,5,6,7, Richard Leventer^2,8, Deanne Thompson^1,9,10, Bonnie Alexander^1,9, Michael Kean^1,4, Peter J Anderson^9,11, Marc L Seal^1,5, and Richard Beare^1,12

¹Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia, ²Neuroscience Research, Murdoch Children's Research Institute, Melbourne, Australia, ³Neurosurgery, The Royal Children's Hospital, Melbourne, Australia, ⁴Medical Imaging, The Royal Children's Hospital, Melbourne, Australia, ⁵Paediatrics, University of Melbourne, Melbourne, Australia, ⁶Radiology, University of Melbourne, Melbourne, Australia, ⁷Epilepsy, Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, ⁸Neurology, The Royal Children's Hospital, Melbourne, Australia, ⁹Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia, ¹⁰Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, ¹¹School of Psychological Sciences, Monash University/Monash Institute of Cognitive and Clinical Neurosciences, Melbourne, Australia, ¹²Medicine, Monash University, Melbourne, Australia

Delineation of calibration regions is a key component of the T1w/T2w ratio myelin mapping approach. The existing method implemented in SPM was not designed for pediatric MRI application. We have developed an automated approach that is able to reliably segment appropriate calibration regions in the pediatric populations- the CSF and scalp fat layer. Using two pediatric MRI datasets, we demonstrated reliability of our segmentation method and the low variance of regional T1w/T2w ratios than the existing method. Our proposed calibration method has potential to be implemented in pediatric myelination studies using the whole brain T1w/T2w ratio technique.

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