Eskildsen Simon F, Ostergaard Lasse R
Dept. of Health Science and Technology, Aalborg University, Denmark.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):823-30.
Segmentation of the human cerebral cortex from MRI has been subject of much attention during the last decade. Methods based on active surfaces for representing and extracting the cortical boundaries have shown promising results. We present an active surface method, that extracts the inner and outer cortical boundaries using a combination of different vector fields and a local weighting method based on the intrinsic properties of the deforming surface. Our active surface model deforms polygonal meshes to fit the boundaries of the cerebral cortex using a force balancing scheme. As a result of the local weighting strategy and a self-intersection constraint, the method is capable of modelling tight sulci where the image edge is missing or obscured. The performance of the method is evaluated using both real and simulated MRI data.
在过去十年中，从磁共振成像（MRI）中分割人类大脑皮层一直备受关注。基于活动表面来表示和提取皮层边界的方法已显示出有前景的结果。我们提出一种活动表面方法，该方法使用不同向量场的组合以及基于变形表面固有属性的局部加权方法来提取皮层的内边界和外边界。我们的活动表面模型使用力平衡方案使多边形网格变形以拟合大脑皮层的边界。由于局部加权策略和自相交约束，该方法能够对图像边缘缺失或模糊的紧密脑沟进行建模。使用真实和模拟的MRI数据对该方法的性能进行了评估。
