Automatically Parcellating the Human Cerebral Cortex

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ID: 289646
2003
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Ranked #83 of 107 articles by views in cerebral cortex (new york, ny : 1991)

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Abstract
We present a technique for automatically assigning a neuroanatomical label to each location on a cortical surface model based on probabilistic information estimated from a manually labeled training set. This procedure incorporates both geometric information derived from the cortical model, and neuroanatomical convention, as found in the training set. The result is a complete labeling of cortical sulci and gyri. Examples are given from two different training sets generated using different neuroanatomical conventions, illustrating the flexibility of the algorithm. The technique is shown to be comparable in accuracy to manual labeling.
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openalex_W2151130155 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bruce Fischl, André van der Kouwe, Christophe Destrieux, Eric Halgren, Florent Ségonne, David H. Salat, Evelina Busa, Larry J. Seidman, Jill M. Goldstein, David N. Kennedy, Verne S. Caviness, Νikolaos Makris, Bruce R. Rosen, Anders M. Dale
Journal cerebral cortex (new york, ny : 1991)
Year 2003
DOI
10.1093/cercor/bhg087
URL
https://academic.oup.com/cercor/article-pdf/14/1/11/1193353/bhg087.pdf
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