期刊
FRONTIERS IN NEUROSCIENCE
卷 6, 期 -, 页码 -出版社
FRONTIERS RESEARCH FOUNDATION
DOI: 10.3389/fnins.2012.00171
关键词
human brain; cerebral cortex; MRI; anatomy; parcellation; labeling; segmentation
资金
- NIMH [R01 grant MH084029]
- OASIS [P50 AG05681, P01 AG03991, R01 AG021910, P50 MH071616, U24 RR021382, R01 MH56584]
- NIH [NCRR P41RR015241, 1R01N5056307, 1R21N5064534-01A109, 1R03EB012461-01, EB000461]
- NKI [R01 MH094639]
We introduce the Mindboggle-101 dataset, the largest and most complete set of free, publicly accessible, manually labeled human brain images. 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. The Desikan Killiany Tourville (DKT) protocol is intended to improve the ease, consistency, and accuracy of labeling human cortical areas. 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. To this end, we also introduce benchmarks for the evaluation of such algorithms by comparing our manual labels with labels automatically generated by probabilistic and multi-atlas registration-based approaches. All data and related software and updated information are available on the http://mindboggle.info/data website.
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