Python Sparse data Analysis Package external MRI plugin.

Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the gallery for the big picture.

mri.operators.fourier.utils.gridded_inverse_fourier_transform_nd(kspace_loc, kspace_data, grid, method)[source]¶

This function calculates the gridded Inverse fourier transform from Interpolated non-Cartesian data into a cartesian grid

Parameters

kspace_loc : np.ndarray

The N-D k_space locations of size [M, N]

kspace_data : np.ndarray

The k-space data corresponding to k-space_loc above

grid : np.ndarray

The Gridded matrix for which you want to calculate k_space Smaps

method : {‘linear’, ‘nearest’, ‘cubic’}

Method of interpolation for more details see scipy.interpolate.griddata documentation

Returns

np.ndarray

The gridded inverse fourier transform of given kspace data