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; Wang, Ruopeng; Fischl, Bruce; Grant, P. Ellen; Zollei, Lilla; ... Show more Show less
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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.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Frontiers in Human Neuroscience
Frontiers Research Foundation
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).
Final published version