101 Labeled Brain Images and a Consistent Human Cortical Labeling Protocol

By Arno Klein, Jason A. Tourville. Frontiers in Neuroscience, 2012

1,188 citations recorded by the source corpus.

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.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/baaf35ef4b21c33b350abf735d972a66bfda9e70

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Citations in the corpus

Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements (2014, methodology): “The work of Klein and Tourville (2012) also resulted in a publicly available set of manually edited labels following the DKT protocol in 101 T1-weighted brain images from different sources, including a subset of 20 images from the OASIS data set (specifically, the test–retest data).”
Which fMRI clustering gives good brain parcellations? (2014, background): “…different neurobiological information, for instance T1 images with anatomical information, such as gyro-66 sulcal anatomy ( Desikan et al. , 2006; Klein and Tourville , 2012), post-mortem in vitro receptor autoradiography for cyto-architecture ( Eickhoff et al. , 2008; Fischl et al. , 2008),…”
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline (2019, positive): “…pipeline, that integrates our neural network architecture at its core to provide FreeSurfer volume and surface results, including cortical surfaces, thickness maps, and summary statistics in cortical regions following the DKT protocol atlas (Klein and Tourville, 2012; Desikan et al., 2006).”
Mindboggling morphometry of human brains (2016, methodology): “They form branching skeletons that simplify the complex pattern of folds of the brain, may be measured for morphometry studies, and are used to help define the boundaries between gyri [22].”
The development of aperiodic neural activity in the human brain (2024, unknown): “Regions of interest (ROIs) were defined on the basis of the Desikan–Killiany–Tourville (DKT) atlas 64 .”
Accurate localization of cortical and subcortical sources of M/EEG signals by a convolutional neural network with a realistic head conductivity model: Validation with M/EEG simulation, evoked potentials, and invasive recordings (2024, methodology): “For the simulation, cortical surfaces were divided into 62 cortical regions (31 regions per hemisphere) based on the DKT parcellation atlas (Klein and Tourville, 2012).”