关键词: 全卷积神经网络, 互信息算法, 多模态, 三维图像配准

Abstract:

Aiming at the problems of slow convergence and easy to fall into local maximum in the traditional registration method for 3D multi-modal image, a method based on Fully Convolutional Networks（FCN） and mutual information algorithm is proposed. The FCN model is used to extract the deep features of 2D images and perform coarse registration. The registration result is used as the initial search point of the mutual information algorithm, which provides a near-optimal initial solution. The mutual information algorithm is used to further fine-tune the parameters to obtain the best 3D registration result. Experiments on the CT-MR image registration show that the proposed method can not only greatly improve the registration speed, but also effectively avoid the local convergence and has higher accuracy.

Key words: Fully Convolutional Networks（FCN）, mutual information algorithm, multi-modal, three-dimensional image registration