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. Author manuscript; available in PMC: 2024 Feb 1.

Published in final edited form as: Med Phys. 2022 Nov 10;50(2):970–979. doi: 10.1002/mp.16026

Figure 2. — a) Seq2Morph is a hybrid network of VoxelMorph and recurrent neural network for the purpose of registering longitudinal image sets. b) convLSTM was used to parse the temporal features in addition to VoxelMorph which was used to parse the spatial features. c) Inverse consistency was implemented to minimize differences between forward and backward registrations.

Figure 2. — a) Seq2Morph is a hybrid network of VoxelMorph and recurrent neural network for the purpose of registering longitudinal image sets. b) convLSTM was used to parse the temporal features in addition to VoxelMorph which was used to parse the spatial features. c) Inverse consistency was implemented to minimize differences between forward and backward registrations.