RandomPhaseError#
- class deepinv.transform.RandomPhaseError(*args, scale=0.2, **kwargs)[source]#
Bases:
Transform
Random phase error transform.
This transform is specific to MRI problems, and adds a phase error to k-space using:
\(Ty=\exp(-i\phi_k)y\) where \(\phi_k=\pilpha s_e\) if \(k\) is an even index, or \(\phi_k=\pilpha s_o\) if odd, and where \(lpha\) is a scale parameter, and \(s_o,s_e\sim U(-1,1)\).
This transform is reproducible: for given param dict
se, so
, the transform is deterministic.