display_3D_trajectory

display_3D_trajectory#

mrinufft.trajectories.display.display_3D_trajectory(trajectory, nb_repetitions=None, figsize=5, per_plane=True, one_shot=False, subfigure=None, show_constraints=False, acq=None, constraints_order=None)[source]#

Display 3D trajectories.

Parameters:

  • trajectory (NDArray) – Trajectory to display.

  • nb_repetitions (int) – Number of repetitions (planes, cones, shells, etc). The default is None.

  • figsize (float, optional) – Size of the figure.

  • per_plane (bool, optional) – If True, display the trajectory with a different color for each plane.

  • one_shot (bool or int, optional) – State if a specific shot should be highlighted in bold black. If True, highlight the middle shot. If int, highlight the shot at that index. The default is False.

  • subfigure (plt.Figure, plt.SubFigure or plt.Axes, optional) – The figure where the trajectory should be displayed. The default is None.

  • show_constraints (bool, optional) – Display the points where the gradients and slew rates are above the gmax and smax limits, respectively. The default is False.

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

  • constraint_order (int, str, optional) – Norm order defining how the constraints are checked, typically 2 or np.inf, following the numpy.linalg.norm conventions on parameter ord. The default is None.

  • **kwargs – Acquisition parameters used to check on hardware constraints, following the parameter convention from mrinufft.trajectories.utils.compute_gradients_and_slew_rates.

  • constraints_order (int | str | None)

Returns:

ax – Axes of the figure.

Return type:

plt.Axes

Example using display_3D_trajectory:#

Animated 3D trajectories

Animated 3D trajectories
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