THE ATHINOULA A. MARTINOS CENTER FOR BIOMEDICAL IMAGING
Age-Dependent Analysis Techniques for Pediatric Structural and Diffusion MRI Data.
This project aims to develop a novel representation and computational tools that enable a better understanding of human brain development and to examine the effects of premature birth. We plan to introduce computational tools that may incorporate information from an age-dependent atlas into a template-based segmentation and registration algorithm. In the initial phase of this project, besides algorithm development, we are putting together a data base of manually annotated infant MRI scans. We need lots of help with this, so if you are detail-oriented and interested in neonatal and infant neuroanatomy, let us know!
Lilla Zollei - PI - email@example.com
*Emma Ben-Avi - firstname.lastname@example.org
Katyucia Macedo Rodrigues - Katyucia.Rodrigues@childrens.harvard.edu
Myong-Sun Choe - Myong-Sun Choe @childrens.harvard.edu
Marie Drottar - Marie.Drottar@childrens.harvard.edu
(*) Contact person: Please, contact Emma if you would like to get involved in this project. Most of the development work is carried out at the Martinos Center, MGH in the Charlestown Navy Yard, however, collaborators are working on manual segmentations and tool testing at Boston Children's Hospital as well.