神经网络技术在磁共振图像分割中的应用

Applications of neural networks for MRI segmentation

神经网络具有类似人脑的并行处理结构 ,能够模拟人脑对刺激的反应方式进行工作 ,可以用于解决磁共振图像分割问题。近来 ,涌现出许多神经网络磁共振图像分割方法的应用报道 ,这些神经网络包括传统的确定型神经网络 ,以及结合模糊逻辑、混沌理论或者小波理论等新理论的混合神经网络。本文针对这些磁共振图像分割方法进行综述。

With the parallel structure like the human brain,neural networks can simulate the reaction of brain which is stimulated,and can be applied for MRI segmentation.Recently,there are lots of reports about applications of neural networks for MRI segmentation,which make use of the traditional determinate neural networks and the combined neural networks which integrate neural networks with the new knowledge such as fuzzy logic,chaos theory or wavelet theory.In this paper,the MRI segmentation methods with neural networks are summarized in detail.