Tosun Duygu, Rettmann Maryam E, Han Xiao, Tao Xiaodong, Xu Chenyang, Resnick Susan M, Pham Dzung L, Prince Jerry L
Department of Electrical and Computer, Engineering Johns Hopkins University, Baltimore, MD 21218, USA.
Neuroimage. 2004;23 Suppl 1(0 1):S108-18. doi: 10.1016/j.neuroimage.2004.07.042.
Segmentation and mapping of the human cerebral cortex from magnetic resonance (MR) images plays an important role in neuroscience and medicine. This paper describes a comprehensive approach for cortical reconstruction, flattening, and sulcal segmentation. Robustness to imaging artifacts and anatomical consistency are key achievements in an overall approach that is nearly fully automatic and computationally fast. Results demonstrating the application of this approach to a study of cortical thickness changes in aging are presented.
从磁共振(MR)图像中对人类大脑皮层进行分割和映射在神经科学和医学中起着重要作用。本文描述了一种用于皮层重建、扁平化和脑沟分割的综合方法。在一种几乎完全自动化且计算速度快的整体方法中,对成像伪影的鲁棒性和解剖学一致性是关键成果。展示了该方法在衰老过程中皮层厚度变化研究中的应用结果。