TorchKbNUFFTgpu

class mrinufft.operators.interfaces.torchkbnufft.TorchKbNUFFTgpu(*args, **kwargs)

Bases: MRITorchKbNufft

MRI Transform Operator using Torch NUFFT for GPU.

This class provides a Non-Uniform Fast Fourier Transform (NUFFT) operator specifically optimized for GPU using the torchkbnufft library. It inherits from the MRITorchKbNufft class and sets the use_gpu parameter to True.

Methods

__init__
adj_op	Backward Operation.
check_shape	Validate the shapes of the image or k-space data against operator shapes.
compute_density	Compute the density compensation weights and set it.
compute_smaps	Compute the sensitivity maps and set it.
data_consistency	Compute the data consistency.
get_lipschitz_cst	Return the Lipschitz constant of the operator.
make_autograd	Make a new Operator with autodiff support.
op	Forward operation.
pipe	Compute the density compensation weights for a given set of kspace locations.
with_autograd	Return a Fourier operator with autograd capabilities.
with_off_resonance_correction	Return a new operator with Off Resonnance Correction.

Attributes

autograd_available
available
backend
cpx_dtype	Return complex floating precision of the operator.
density	Density compensation of the operator.
dtype	Return floating precision of the operator.
interfaces
n_coils	Number of coils for the operator.
n_samples	Return the number of samples used by the operator.
ndim	Number of dimensions in image space of the operator.
norm_factor	Normalization factor of the operator.
samples	Return the samples used by the operator.
shape	Shape of the image space of the operator.
smaps	Sensitivity maps of the operator.
uses_density	Return True if the operator uses density compensation.
uses_sense	Return True if the operator uses sensitivity maps.