A FreeSurfer-compliant consistent manual segmentation of infant brains spanning the 0-2 year age range

Author(s)
de Macedo Rodrigues, Katyucia; Ben-Avi, Emma; Sliva, Danielle D.; Choe, Myong-sun; Drottar, Marie; ... Show more
Thumbnail
DownloadRodrigues-2015-A FreeSurfer-complia.pdf (6.904Mb)
PUBLISHER_CC
Terms of use
Metadata
Show full item record
Abstract
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.
Date issued
2015-02
URI
http://hdl.handle.net/1721.1/96435
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
Frontiers in Human Neuroscience
Publisher
Frontiers Research Foundation
Citation
De Macedo Rodrigues, Katyucia, Emma Ben-Avi, Danielle D. Sliva, Myong-sun Choe, Marie Drottar, Ruopeng Wang, Bruce Fischl, Patricia E. Grant, and Lilla Zollei. “A FreeSurfer-Compliant Consistent Manual Segmentation of Infant Brains Spanning the 0-2 Year Age Range.” Frontiers in Human Neuroscience 9 (February 18, 2015).
Version: Final published version
ISSN
1662-5161
Collections