Right now all the models have a lot in common but nothing is shared via a common basis.
The simplest and most debuggable way to do so, is to have a subclassed basis for all the cross-domain models, that will be readily transformable in any model, potentially with multi-coil. This will allow extensive comparison on different parameters, like type of data consistency, buffer size and number of alternation.
Things to take into account:
buffer of values like in PD-net
2 types of data consistency (and therefore different forward/adjoint operators)
specify how to begin/end the networks, i.e. with a K network or an I network.
extension to multi-coil either in the operator, or at the end
Right now all the models have a lot in common but nothing is shared via a common basis. The simplest and most debuggable way to do so, is to have a subclassed basis for all the cross-domain models, that will be readily transformable in any model, potentially with multi-coil. This will allow extensive comparison on different parameters, like type of data consistency, buffer size and number of alternation. Things to take into account: