snake.core.engine.cartesian

snake.core.engine.cartesian#

Acquisition engine for Cartesian trajectories.

Module Contents#

Classes#

EPIAcquisitionEngine

Acquisition engine for EPI base trajectories.

EVIAcquisition

EVI Acquisition engine. Same as EPI, but the shots are longer.

API#

class snake.core.engine.cartesian.EPIAcquisitionEngine[source]#

Bases: snake.core.engine.base.BaseAcquisitionEngine

Acquisition engine for EPI base trajectories.

__engine_name__ = 'EPI'#
__mp_mode__ = 'forkserver'#
model: str = 'simple'#
snr: float = None#
slice_2d: bool = False#
_get_chunk_list(data_loader: snake.mrd_utils.MRDLoader) → collections.abc.Sequence[int][source]#
_job_trajectories(data_loader: snake.mrd_utils.MRDLoader, hdr: ismrmrd.xsd.ismrmrdHeader, sim_conf: snake.core.simulation.SimConfig, chunk: collections.abc.Sequence[int]) → numpy.ndarray[source]#

Generate the fourier operator by iterating the dataset.

static _job_model_T2s(phantom: snake.core.phantom.Phantom, dyn_datas: list[snake.core.phantom.DynamicData], sim_conf: snake.core.simulation.SimConfig, trajectories: numpy.typing.NDArray, slice_2d: bool = False) → numpy.ndarray[source]#

Acquire k-space data. With T2s decay.

static _job_model_simple(phantom: snake.core.phantom.Phantom, dyn_datas: list[snake.core.phantom.DynamicData], sim_conf: snake.core.simulation.SimConfig, trajectories: numpy.typing.NDArray, slice_2d: bool = False) → numpy.ndarray[source]#

Acquire k-space data. No T2s decay.

_write_chunk_data(data_loader: snake.mrd_utils.MRDLoader, chunk: collections.abc.Sequence[int], chunk_data: numpy.typing.NDArray) → None[source]#
class snake.core.engine.cartesian.EVIAcquisition[source]#

Bases: snake.core.engine.cartesian.EPIAcquisitionEngine

EVI Acquisition engine. Same as EPI, but the shots are longer.

__engine_name__ = 'EVI'#
__mp_mode__ = 'forkserver'#
model: str = 'simple'#
snr: float = None#
_get_chunk_list(data_loader: snake.mrd_utils.MRDLoader) → collections.abc.Sequence[int][source]#
_job_trajectories(data_loader: snake.mrd_utils.MRDLoader, hdr: ismrmrd.xsd.ismrmrdHeader, sim_conf: snake.core.simulation.SimConfig, chunk: collections.abc.Sequence[int]) → numpy.ndarray[source]#

Generate the fourier operator by iterating the dataset.

static _job_model_T2s(phantom: snake.core.phantom.Phantom, dyn_datas: list[snake.core.phantom.DynamicData], sim_conf: snake.core.simulation.SimConfig, trajectories: numpy.typing.NDArray) → numpy.ndarray[source]#

Acquire k-space data. With T2s decay.

static _job_model_simple(phantom: snake.core.phantom.Phantom, dyn_datas: list[snake.core.phantom.DynamicData], sim_conf: snake.core.simulation.SimConfig, trajectories: numpy.typing.NDArray) → numpy.ndarray[source]#

Acquire k-space data. No T2s decay.

_write_chunk_data(data_loader: snake.mrd_utils.MRDLoader, chunk: collections.abc.Sequence[int], chunk_data: numpy.typing.NDArray) → None[source]#