NonCartesianFrameDataLoader

class snake.mrd_utils.loader.NonCartesianFrameDataLoader(filename, dataset_name='dataset', writeable=False, swmr=False)

Bases: MRDLoader

Non Cartesian Dataloader.

Iterate over the acquisition of the MRD file.

Examples

>>> from mrinufft import get_operator
>>> dataloader =  NonCartesianFrameDataLoader("test.mrd")
>>> for mask, kspace in data_loader:
...     nufft = get_operator("finufft")(traj,
...     shape=dataloader.shape, n_coils=dataloader.n_coils)
...     image = nufft.adj_op(kspace)

Methods

__init__
get_all_dynamic	Get all dynamic data.
get_coil_cov	Load the coil covariance from the dataset.
get_dynamic	Get dynamic data.
get_kspace_frame	Get the k-space frame.
get_phantom	Load the phantom from the dataset.
get_sim_conf	Parse the sim config.
get_smaps	Load the sensitivity maps from the dataset.
iter_frames	Iterate over kspace frames of the dataset.

Attributes

header	Get the header from the mrd file.
log	Logger.
n_acquisition	Number of acquisition in the dataset.
n_coils	Number of coils.
n_frames	Number of frames.
n_sample	Number of samples in a single acquisition.
n_shots	Number of samples in a single acquisition.

Parameters:

• filename (os.PathLike)

• dataset_name (str)

• writeable (bool)

• swmr (bool)

get_kspace_frame(idx)

Get the k-space frame.

Parameters:

idx (int)

Return type:

tuple[ndarray, ndarray]