Source code for mrinufft.io.utils
"""Module containing utility functions for IO in MRI NUFFT."""
import numpy as np
from scipy.spatial.transform import Rotation
[docs]
def add_phase_to_kspace_with_shifts(kspace_data, kspace_loc, normalized_shifts):
"""
Add phase shifts to k-space data.
Parameters
----------
kspace_data : np.ndarray
The k-space data.
kspace_loc : np.ndarray
The k-space locations.
normalized_shifts : tuple
The normalized shifts to apply to each dimension of k-space.
Returns
-------
ndarray
The k-space data with phase shifts applied.
Raises
------
ValueError
If the dimension of normalized_shifts does not match the number of
dimensions in kspace_loc.
"""
if len(normalized_shifts) != kspace_loc.shape[1]:
raise ValueError(
"Dimension mismatch between shift and kspace locations! "
"Ensure that shifts are right"
)
phi = np.sum(kspace_loc * normalized_shifts, axis=-1)
phase = np.exp(-2 * np.pi * 1j * phi)
return kspace_data * phase
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def siemens_quat_to_rot_mat(quat):
"""
Calculate the rotation matrix from Siemens Twix quaternion.
Parameters
----------
quat : np.ndarray
The quaternion from the Siemens Twix file.
Returns
-------
np.ndarray
The affine rotation matrix which is a 4x4 matrix.
This can be passed as input to `affine` parameter in `nibabel`.
"""
R = np.zeros((4, 4))
R[:3, :3] = Rotation.from_quat([quat[1], quat[2], quat[3], quat[0]]).as_matrix()
R[:, (0, 1)] = R[:, (1, 0)]
if np.linalg.det(R[:3, :3]) < 0:
R[2] = -R[2]
R[-1, -1] = 1
return R