3D Brain MRI Registration Network Based on Nested U-Shapes
To address the issue of inaccurate extraction of image details in traditional U-Net based image registration networks,a nested U-shaped registration network is introduced.The U-shaped residual module of RSU-L is introduced in each encoding and decoding stage of the network,and a registration field is generated every time the decoding stage in the U-shaped network is upsampled.Finally,the registration field is superimposed to obtain the final regis-tration deformation field.In open datasets,compared with traditional ANTs,Voxelmorph,and the latest Transmorph networks,the proposed nested U-shaped network improves the Dice coefficient by 1％to 11％,increased the accuracy of network models for image registra-tion tasks and providing some assistance for clinical diagnosis and treatment.
image registrationnested structureU-shaped networkregistration field fusionresidual structure
NETL
NSTL
万方数据
