Automatically parcellating the human cerebral cortex
Automatically parcellating the human cerebral cortex
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DOI：
10.1093/cercor/bhg087
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发表时间：
2004-01-01
期刊：
影响因子：
3.7
通讯作者：
Dale, AM
中科院分区：
文献类型：
--
作者：
Fischl, B;van der Kouwe, A;Dale, AM
我们提出了一种技术，用于自动分配一个神经解剖标签的皮质表面模型上的每个位置的基础上估计从手动标记的训练集的概率信息。该过程结合了来自皮质模型的几何信息和神经解剖学惯例，如在训练集中发现的。结果是皮质沟和脑回的完整标记。从两个不同的训练集使用不同的神经解剖学公约，说明算法的灵活性。该技术被证明是可比的准确性手动标记。
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.