is actually close to the case based measurements we have obtained and this leads us to when we develop our CNN to have a layer which is probably not very common in other applications which we call a data consistency layer so this forces our data our fidelity and what this effectively does is this equation you see here is we have some part of missing key space if we make an estimate of this we simply keep that estimate of of K space and we have some part where we have measured K space and that measured bit of K space we're going to