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Abstract #1764

Segmentation-based MRI templates for pre-term and full-term newborns

Frdric Grouiller 1 , Laura Gui 2 , Gwnal Birot 3 , Alexandra Darqu 2 , Lara Lordier 2 , Petra Hppi 2 , and Franois Lazeyras 1

1 Department of Radiology and Medical Informatics, Geneva University Hospital, Geneva, Switzerland, 2 Division of Development and Growth, Department of Pediatrics, Geneva University Hospital, Geneva, Switzerland, 3 Functional Brain Mapping Laboratory, University of Geneva, Geneva, Switzerland

Due to the absence of myelin at birth, tissues properties of the neonatal brain are strongly different of the adults brain. Realistic newborn head model is required to compute accurate EEG source imaging. We built segmented templates of preterm and full-term newborns brain using segmentation of individual structural MRI. Electrical conductivity can be assigned to each type of tissue to build a realistic model for EEG source localization. These templates and their corresponding tissue probability maps could also be used for tissue masking or as prior for subsequent analyses.

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