101 Labeled Brain Images and a Consistent Human Cortical Labeling Protocol
Columbia University · Stony Brook University · +1 more institution
Abstract
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…
Citation impact
- FWCI
- 9.48
- Percentile
- 100%
- References
- 38
Authors
2Topics & keywords
- Computer science
- Initialization
- Protocol (science)
- Artificial intelligence
- Probabilistic logic
- Population
- Software
- Consistency (knowledge bases)
Funding
- NINational Institutes of HealthAwards: 1R03EB012461, P50 AG05681, R01 AG021910, MH071616, AG05681, U24 RR021382, P41RR015241, P01 AG03991, AG03991, R01 MH56584, P50 MH071616, 1R21NS064534
- NINational Institute of Mental HealthAwards: R01 MH56584, P50 MH071616, MH071616
- NCNational Center for Research ResourcesAward: U24 RR021382