In-room imaging and MR planning

Algebraic Reconstructions

Normally, a so-called „regularizer“ function is added to the cost function to be minimized, in such a way to incorporate noise and/or artifacts reduction and create an algebraic reconstruction algorithm optimized for a specific problem or scenario. Here few examples: - Total variation:

- Nuclear norm (for correlated images):

- Prior-induce similarity:

- Dicitionary based: