Andreia Vasconcellos Faria1,2, Alexander Hoon3, Elaine Stashinko3, Ameneh Mashayekh1, Xin Li4, Hangyi Jiang1,4, Kazi Akhter1, Kenichi Oishi1, Jiangyang Zhang1, Peter van Zijl1,4, Michael Miller5, Susumu Mori1
1Radiology, Johns Hopkins University, Baltimore, MD, United States; 2Radiology, State University of Campinas, Campinas, SP, Brazil; 3Division of Neurology and Developmental Medicine, Kennedy Krieger Institute, Baltimore, MD, United States; 4F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States; 5Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
We developed a new method to provide a comprehensive quantitative analysis of brain anatomy in cerebral palsy patients, based on two technical points: diffusion tensor imaging and an automated 3D whole brain segmentation based on our brain atlas and a nonlinear normalization technique (large-deformation diffeomorphic metric mapping). This method was applied to thirteen patients and the reliability of the automated segmentation measured by Kappa revealed "almost perfect" agreement with the manual segmentation. We illustrate some potential applications on individual characterization and group comparison. This technique also provides a framework to determine the impact of various neuroanatomic features on brain functions.