![]() Given how difficult it is to label brains, the Mindboggle-101 dataset is intended to serve as brain atlases for use in labeling other brains, as a normative dataset to establish morphometric variation in a healthy population for comparison against clinical populations, and contribute to the development, training, testing, and evaluation of automated registration and labeling algorithms. The “Desikan–Killiany–Tourville” (DKT) protocol is intended to improve the ease, consistency, and accuracy of labeling human cortical areas. To manually label the macroscopic anatomy in magnetic resonance images of 101 healthy participants, we created a new cortical labeling protocol that relies on robust anatomical landmarks and minimal manual edits after initialization with automated labels. We introduce the Mindboggle-101 dataset, the largest and most complete set of free, publicly accessible, manually labeled human brain images. 4Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA, USA.3Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, USA.2Department of Psychiatry, Columbia University, New York, NY, USA.1Department of Psychiatry and Behavioral Science, Stony Brook University School of Medicine, Stony Brook, NY, USA.Arno Klein 1,2* † and Jason Tourville 3,4 †
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