Learning a Model-Driven Variational Network for Deformable Image Registration
IEEE Transactions on Medical Imaging(2022)
摘要
Data-driven deep learning approaches to image registration can be less accurate than conventional iterative approaches, especially when training data is limited. To address this issue and meanwhile retain the fast inference speed of deep learning, we propose VR-Net, a novel cascaded variational network for unsupervised deformable image registration. Using a variable splitting optimization scheme, ...
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关键词
Iterative methods,Strain,Image registration,Deformable models,Optimization,Deep learning,Noise reduction
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