convert_gradients_to_trajectory#

mrinufft.trajectories.utils.convert_gradients_to_trajectory(gradients: ndarray[tuple[int, ...], dtype[_ScalarType_co]], initial_positions: ndarray[tuple[int, ...], dtype[_ScalarType_co]] | None = None, acq: Acquisition | None = None) → ndarray[tuple[int, ...], dtype[_ScalarType_co]][source]#

Integrate gradients over time to provide a normalized trajectory.

Parameters:

  • gradients (NDArray) – Gradients over 2 or 3 directions in T/m

  • initial_positions (NDArray, optional) – Positions in k-space at the beginning of the readout window. The default is None.

  • acq (Acquisition, optional) – Acquisition configuration to use for normalization. If None, the default acquisition is used.

Returns:

trajectory – Normalized trajectory corresponding to gradients.

Return type:

NDArray