title: Optimized methodology for neonatal diffusion tensor imaging processing and study-specific template construction.
abstract: Diffusion tensor imaging (DTI) has been widely used to study cerebral white matter microstructure in vivo. There is a plethora of open source tools available to perform pre-processing, analysis and template or atlas construction, however very few have been optimized for use with neonatal DTI data. Here we present a fully automated modular pipeline optimized for neonatal DTI data and the construction of study-specific tensor templates. We compare our methodology to an existing one. It is anticipated that the construction of population or study-specific templates will facilitate better group comparisons of neonatal populations both in health and disease.
authors.forename: Iordanis E
authors.initials: IE
authors.lastname: Evangelou
authors.forename: Ahmed
authors.initials: A
authors.lastname: Serag
authors.forename: Marine
authors.initials: M
authors.lastname: Bouyssi-Kobar
authors.forename: Adre J du
authors.initials: AJ
authors.lastname: Plessis
authors.forename: Catherine
authors.initials: C
authors.lastname: Limperopoulos
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology; D056324:Diffusion Tensor Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007231:Infant, Newborn; D008297:Male