A FreeSurfer-compliant consistent manual segmentation of infant brains spanning the 0-2 year age range.
We present a detailed description of a set of FreeSurfer compatible segmentation guidelines tailored to infant MRI scans, and a unique data set of manually segmented acquisitions, with subjects nearly evenly distributed between 0 and 2 years of age. We believe that these segmentation guidelines and this dataset will have a wide range of potential uses in medicine and neuroscience.
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital Boston, MA, USA.
Katyucia
K
de Macedo Rodrigues
Laboratory of Computational Neuroimaging, AA Martinos Center, Massachusetts General Hospital Charlestown, MA, USA.
Emma
E
Ben-Avi
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital Boston, MA, USA ; Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Department of Medicine, Boston Children's Hospital Boston, MA, USA.
Danielle D
DD
Sliva
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital Boston, MA, USA.
Myong-Sun
MS
Choe
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital Boston, MA, USA.
Marie
M
Drottar
Laboratory of Computational Neuroimaging, AA Martinos Center, Massachusetts General Hospital Charlestown, MA, USA.
Ruopeng
R
Wang
Laboratory of Computational Neuroimaging, AA Martinos Center, Massachusetts General Hospital Charlestown, MA, USA ; Department of Electrical Engineering and Computer Science, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Cambridge, MA, USA.
Bruce
B
Fischl
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital Boston, MA, USA.
Patricia E
PE
Grant
Laboratory of Computational Neuroimaging, AA Martinos Center, Massachusetts General Hospital Charlestown, MA, USA.
Lilla
L
Zöllei
MRI imaging; atlas; neuroimaging; pediatrics; segmentation