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. 2024 Jul 23;37(3):335–368. doi: 10.1007/s10334-024-01173-8

Fig. 3.

Fig. 3

Variational network (VN) training procedure. The objective is learning a set of VN parameters during an offline training procedure. For this purpose, the current reconstruction of the VN is compared to an artifact-free reference using a similarity measure. This yields the reconstruction error which is propagated back to the VN to compute a new set of parameters. Reproduced with permission from Hammernik, K. et al. (2018) Magn. Reson. Med., 79: 3055–3071. https://doi.org/10.1002/mrm.26977. [24]