mri.operators.fourier.online#

Fourier operators for online reconstructions.

class ColumnFFT(shape, line_index=0, n_coils=1)[source]#

Bases: mri.operators.fourier.base.FourierOperatorBase

Fourier operator optimized to compute the 2D FFT + selection of various line of the kspace.

The FFT will be normalized in a symmetric way. Currently work only in 2D or stack of 2D.

property mask#

Return the column index of the mask.

op(img)[source]#

Compute the masked 2D Fourier transform of a 2d or 3D image.

Parameters

img (numpy.ndarray) – input ND array with the same shape as the mask. For multichannel images the coils dimension is put first

Returns

x – masked Fourier transform of the input image. For multichannel images the coils dimension is put first

Return type

numpy.ndarray

adj_op(x)[source]#

Compute inverse masked Fourier transform of a ND image.

Parameters

x (numpy.ndarray) – masked Fourier transform data. For multichannel images the coils dimension is put first

Returns

img – inverse ND discrete Fourier transform of the input coefficients. For multichannel images the coils dimension is put first

Return type

numpy.ndarray