bartorch.nufft_adjoint#

bartorch.nufft_adjoint()#

Adjoint of nufft(): samples along traj back to an image.

Parameters:

input (torch.Tensor) – Samples, as nufft() returns them.
traj (torch.Tensor) – Trajectory (..., samples, 3) in grid units, kx, ky, kz, as bartorch.tools.traj() produces.
image_shape (tuple of int, default=None) – Spatial shape of the image, C order (z, y, x) or (y, x). By default BART estimates it from the trajectory.
weights (torch.Tensor, default=None) – Diagonal in k-space applied to the samples; its conjugate is applied here.
basis (torch.Tensor, default=None) – Temporal subspace basis, coefficients then frames, in BART’s axis order: (coeffs, frames, 1, 1, 1, 1, 1).
**extra – Further bart nufft options, by name.

Examples using `nufft_adjoint`#