Yu Zhang1, Weijian Huang1, Fei Li1, Qiang He2, Haoyun Liang1, Xin Liu1, Hairong Zheng1, and Shanshan Wang1
1Paul C Lauterbur Research Center, Shenzhen Inst. of Advanced Technology, shenzhen, China, 2United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
1Paul C Lauterbur Research Center, Shenzhen Inst. of Advanced Technology, shenzhen, China, 2United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
Multi-modal magnetic resonance (MR) image registration is essential in the clinic.In this study, we propose a multi-modal MR image registration with topology-preserving dual consistency constraint, which achieves the best registration performance.
Fig.1. Overview of the method. Two images, including the moving FLAIR image(M) and the fixed DWI image(F), are input into Dθ to generate the transformation filed(φ). Dθ represent the registration network.
Fig.2.Qualitative registration results of different methods. The first two columns present the moving FLAIR images and the fixed DWI images with the annotated stroke lesions. The third columns show the registration results of our proposed method, and the rest columns are the results generated by the comparison algorithms.