Age-specific MRI templates for pediatric neuroimaging.
This study created a database of pediatric age-specific magnetic resonance imaging (MRI) brain templates for normalization and segmentation. Participants included children from 4.5 through 19.5 years, totaling 823 scans from 494 subjects. Open-source processing programs (FMRIB Software Library, Statistical Parametric Mapping, Advanced Normalization Tools [ANTS]) constructed head, brain, and segmentation templates in 6-month intervals. The tissue classification (white matter [WM], gray matter [GM], cerebrospinal fluid) showed changes over age similar to previous reports. A volumetric analysis of age-related changes in WM and GM based on these templates showed expected increase/decrease pattern in GM and an increase in WM over the sampled ages. This database is available for use for neuroimaging studies (http://jerlab.psych.sc.edu/neurodevelopmentalmridatabase).
Department of Psychology, University of South Carolina, Columbia, South Carolina 29208, USA.
Carmen E
CE
Sanchez
John E
JE
Richards
C Robert
CR
Almli
D000293:Adolescent; D000375:Aging; D001921:Brain / Q000033:anatomy & histology*; D002648:Child; D002675:Child, Preschool; D016208:Databases, Factual; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D009413:Nerve Fibers, Myelinated; D036421:Nerve Fibers, Unmyelinated; D059906:Neuroimaging / Q000379:methods*; D012016:Reference Values; D055815:Young Adult