mrpro.data.traj_calculators.KTrajectoryCalculator

class mrpro.data.traj_calculators.KTrajectoryCalculator[source]

Bases: ABC

Base class for k-space trajectories.

__init__()

abstract __call__(*, n_k0: int, k0_center: int | Tensor, k1_idx: Tensor, k1_center: int | Tensor, k2_idx: Tensor, k2_center: int | Tensor, encoding_matrix: SpatialDimension, reversed_readout_mask: Tensor | None = None) → KTrajectory[source]

Calculate the trajectory for given KHeader.

The shapes of kz, ky and kx of the calculated trajectory must be broadcastable to (prod(all_other_dimensions), k2, k1, k0).

Not all of the parameters will be used by all implementations.

Parameters:

• n_k0 (int) – number of samples in k0

• k0_center (int | Tensor) – position of k-space center in k0

• k1_idx (Tensor) – indices of k1

• k1_center (int | Tensor) – position of k-space center in k1

• k2_idx (Tensor) – indices of k2

• k2_center (int | Tensor) – position of k-space center in k2

• reversed_readout_mask (Tensor | None, default: None) – boolean tensor indicating reversed readout

• encoding_matrix (SpatialDimension) – encoding matrix

Returns:

Trajectory

__eq__(value, /)

Return self==value.

__new__(**kwargs)