Lankton Shawn, Melonakos John, Malcolm James, Dambreville Samuel, Tannenbaum Allen
Georgia Institute of Techology Atlanta, GA, USA 30322.
Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2008:1-8. doi: 10.1109/cvprw.2008.4562999.
We describe a method for segmenting neural fiber bundles in diffusion-weighted magnetic resonance images (DWMRI). As these bundles traverse the brain to connect regions, their local orientation of diffusion changes drastically, hence a constant global model is inaccurate. We propose a method to compute localized statistics on orientation information and use it to drive a variational active contour segmentation that accurately models the non-homogeneous orientation information present along the bundle. Initialized from a single fiber path, the proposed method proceeds to capture the entire bundle. We demonstrate results using the technique to segment the cingulum bundle and describe several extensions making the technique applicable to a wide range of tissues.
我们描述了一种在扩散加权磁共振图像（DWMRI）中分割神经纤维束的方法。由于这些纤维束穿过大脑连接不同区域，其局部扩散方向变化剧烈，因此恒定的全局模型并不准确。我们提出一种方法来计算方向信息的局部统计量，并利用它来驱动变分活动轮廓分割，从而精确地模拟纤维束沿线存在的非均匀方向信息。从单个纤维路径初始化后，该方法可进而捕获整个纤维束。我们展示了使用该技术分割扣带束的结果，并描述了几种扩展方法，使该技术适用于广泛的组织。
