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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