神经影像分析软件工具中组织分割算法的比较
Comparison of tissue segmentation algorithms in neuroimage analysis software tools.
作者信息
Tsang On, Gholipour Ali, Kehtarnavaz Nasser, Gopinath Kaundinya, Briggs Richard, Panahi Issa
机构信息
Electrical Engineering Department, University of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3924-8. doi: 10.1109/IEMBS.2008.4650068.
Accurate segmentation of different brain tissues is of much importance in magnetic resonance imaging. This paper presents a comparison of the existing segmentation algorithms that are deployed in the neuroimaging community as part of two widely used software packages. The results obtained in this comparison can be used to select the appropriate segmentation algorithm for the neuroimaging application of interest. In addition to the entire brain area, a comparison is carried out for the subcortical region of the brain in terms of its gray matter composition.
在磁共振成像中，准确分割不同的脑组织非常重要。本文对作为两个广泛使用的软件包一部分而部署在神经成像领域的现有分割算法进行了比较。该比较所得结果可用于为感兴趣的神经成像应用选择合适的分割算法。除了整个脑区，还针对脑的皮质下区域的灰质组成进行了比较。
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