Automatically parcellating the human cerebral cortex

被引:3317
作者
Fischl, B
van der Kouwe, A
Destrieux, C
Halgren, E
Ségonne, F
Salat, DH
Busa, E
Seidman, LJ
Goldstein, J
Kennedy, D
Caviness, V
Makris, N
Rosen, B
Dale, AM
机构
[1] MGH MIT Harvard Med Sch, Athnoula A Martinos Ctr Biomed Imaging, Dept Radiol, Charlestown, MA 02129 USA
[2] MIT, Artificial Intelligence Lab, Charlestown, MA 02129 USA
[3] CHRU, Fac Med, Lab Anat, Tours, France
[4] INSERM, U316, Tours, France
[5] Massachusetts Mental Hlth Ctr, Harvard Dept Psychiat, Charlestown, MA 02129 USA
[6] Massachusetts Gen Hosp, Harvard Dept Psychiat, Charlestown, MA 02129 USA
[7] Harvard Inst Psychiat Epidemiol & Genet, Charlestown, MA 02129 USA
[8] MGH, Dept Neurol, Ctr Morphometr Anal, Charlestown, MA 02129 USA
关键词
D O I
10.1093/cercor/bhg087
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:11 / 22
页数:12
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