pygrappa.hpgrappa

Python implementation of hp-GRAPPA.

pygrappa.hpgrappa.hpgrappa(kspace, calib, fov, kernel_size=(5, 5), w=None, c=None, ret_filter=False, coil_axis=-1, lamda=0.01, silent=True)[source]

High-pass GRAPPA.

Parameters:
  • fov (tuple, (FOV_x, FOV_y)) – Field of view (in m).
  • w (float, optional) – Filter parameter: determines the smoothness of the filter boundary.
  • c (float, optional) – Filter parameter: sets the cutoff frequency.
  • ret_filter (bool, optional) – Returns the high pass filter determined by (w, c).

Notes

If w and/or c are None, then the closest values listed in Table 1 from [1] will be used.

F2 described by Equation [2] in [1] is used to generate the high pass filter.

References

[1](1, 2) Huang, Feng, et al. “High‐pass GRAPPA: An image support reduction technique for improved partially parallel imaging.” Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 59.3 (2008): 642-649.