Han Xiao, Xu Chenyang, Braga-Neto Ulisses, Prince Jerry L
Center for Imaging Science, Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
IEEE Trans Med Imaging. 2002 Feb;21(2):109-21. doi: 10.1109/42.993130.
Reconstructing an accurate and topologically correct representation of the cortical surface of the brain is an important objective in various neuroscience applications. Most cortical surface reconstruction methods either ignore topology or correct it using manual editing or methods that lead to inaccurate reconstructions. Shattuck and Leahy recently reported a fully automatic method that yields a topologically correct representation with little distortion of the underlying segmentation. We provide an alternate approach that has several advantages over their approach, including the use of arbitrary digital connectivities, a flexible morphology-based multiscale approach, and the option of foreground-only or background-only correction. A detailed analysis of the method's performance on 15 magnetic resonance brain images is provided.
重建大脑皮质表面精确且拓扑正确的表示是各种神经科学应用中的一个重要目标。大多数皮质表面重建方法要么忽略拓扑结构，要么通过手动编辑或导致重建不准确的方法来进行校正。沙塔克和利ahy最近报道了一种全自动方法，该方法能产生拓扑正确的表示，且对基础分割的扭曲很小。我们提供了一种替代方法，该方法相对于他们的方法具有几个优点，包括使用任意数字连通性、基于形态学的灵活多尺度方法以及仅校正前景或仅校正背景的选项。本文还对该方法在15幅磁共振脑图像上的性能进行了详细分析。
