101 labeled brain images and a consistent human cortical labeling protocol

被引:754
作者
Klein, Arno [1 ,2 ]
Tourville, Jason [3 ,4 ]
机构
[1] SUNY Stony Brook, Sch Med, Dept Psychiat & Behav Sci, Stony Brook, NY 11794 USA
[2] Columbia Univ, Dept Psychiat, New York, NY USA
[3] Boston Univ, Dept Speech Language & Hearing Sci, Boston, MA 02215 USA
[4] Boston Univ, Ctr Computat Neurosci & Neural Technol, Boston, MA 02215 USA
来源
FRONTIERS IN NEUROSCIENCE | 2012年 / 6卷
关键词
human brain; cerebral cortex; MRI; anatomy; parcellation; labeling; segmentation;
D O I
10.3389/fnins.2012.00171
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 35 条
  • [1] Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy
    Aljabar, P.
    Heckemann, R. A.
    Hammers, A.
    Hajnal, J. V.
    Rueckert, D.
    [J]. NEUROIMAGE, 2009, 46 (03) : 726 - 738
  • [2] [Anonymous], 2011, The human cerebral cortex. An MRI atlas of the sulci and gyri in MNI sterotaxic space
  • [3] [Anonymous], 2010, 16 ANN M ORG HUM BRA
  • [4] The optimal template effect in hippocampus studies of diseased populations
    Avants, Brian B.
    Yushkevich, Paul
    Pluta, John
    Minkoff, David
    Korczykowski, Marc
    Detre, John
    Gee, James C.
    [J]. NEUROIMAGE, 2010, 49 (03) : 2457 - 2466
  • [5] The Brain Atlas Concordance Problem: Quantitative Comparison of Anatomical Parcellations
    Bohland, Jason W.
    Bokil, Hemant
    Allen, Cara B.
    Mitra, Partha P.
    [J]. PLOS ONE, 2009, 4 (09):
  • [6] Cortical folding abnormalities in schizophrenia patients with resistant auditory hallucinations
    Cachia, Arnaud
    Paillere-Martinot, Marie-Laure
    Galinowski, Andre
    Januel, Dominique
    de Beaurepaire, Renaud
    Bellivier, Frank
    Artiges, Eric
    Andoh, Jamila
    Bartres-Faz, David
    Duchesnay, Edouard
    Riviere, Denis
    Plaze, Marion
    Mangin, Jean-Francois
    Martinot, Jean-Luc
    [J]. NEUROIMAGE, 2008, 39 (03) : 927 - 935
  • [7] MRI-based topographic parcellation of human neocortex: An anatomically specified method with estimate of reliability
    Caviness, VS
    Meyer, J
    Makris, N
    Kennedy, DN
    [J]. JOURNAL OF COGNITIVE NEUROSCIENCE, 1996, 8 (06) : 566 - 587
  • [8] Cointepas Y., 2001, HUM BRAIN MAPP S, V13, P98
  • [9] Cerebral cortex: a topographic segmentation method using magnetic resonance imaging
    Crespo-Facorro, B
    Kim, JJ
    Andreasen, NC
    Spinks, R
    O'Leary, DS
    Bockholt, HJ
    Harris, G
    Magnotta, VA
    [J]. PSYCHIATRY RESEARCH-NEUROIMAGING, 2000, 100 (02) : 97 - 126
  • [10] Cortical surface-based analysis - I. Segmentation and surface reconstruction
    Dale, AM
    Fischl, B
    Sereno, MI
    [J]. NEUROIMAGE, 1999, 9 (02) : 179 - 194