get_random_loc_1d#

mrinufft.trajectories.tools.get_random_loc_1d(dim_size: int, center_prop: float | int, accel: float = 4, pdf: Literal['uniform', 'gaussian', 'equispaced'] | ndarray[tuple[int, ...], dtype[_ScalarType_co]] | VDSpdf = 'uniform', rng: int | Generator | None = None, order: Literal['center-out', 'top-down', 'random'] | VDSorder = 'center-out') → ndarray[tuple[int, ...], dtype[_ScalarType_co]][source]#

Get slice index at a random position.

Parameters:

  • dim_size (int) – Dimension size

  • center_prop (float or int) – Proportion of center of kspace to continuouly sample

  • accel (float) – Undersampling/Acceleration factor

  • pdf (str, optional) – Probability density function for the remaining samples. “gaussian” (default) or “uniform” or np.array

  • rng (int or np.random.Generator) – random state

  • order (str) – Order of the lines, “center-out” (default), “random” or “top-down”

Returns:

np.ndarray

Return type:

array of size dim_size/accel.