Image Reconstructors#
Sub-package containing image reconstruction wrapper routines.
Building blocks#
DeepMR contains a convenient builder routines to automatically initialize the MR encoding operator for different reconstruction problems (e.g., Cartesian vs Non-Cartesian, single- vs multi-channel, single- vs multi-contrast).
This can be used inside conventional reconstruction algorithms, or inside neural network architectures.
Prepare MR encoding operator for Cartesian / Non-Cartesian imaging. |
Classical Image Reconstruction#
DeepMR contains convenient wrappers around generic standard reconstruction.
The provided routine can perform zero-filled or iterative reconstruction with Tikonhov, L1Wavelet or Total Variation regularization for both Cartesian and Non-Cartesian (single-/multi- contrast/channel) data, depending on input arguments.
Classical MR reconstruction. |