Additional functions: the functions
module
Additional functions for PyAstraToolbox.
- astra.functions.add_noise_to_sino(sinogram_in, I0, seed=None)[source]
Adds Poisson noise to a sinogram.
- Parameters:
sinogram_in (
numpy.ndarray
) – Sinogram to add noise to.I0 (
float
) – Background intensity. Lower values lead to higher noise.
- Returns:
numpy.ndarray
– the sinogram with added noise.
- astra.functions.clear()[source]
Clears all used memory of the ASTRA Toolbox.
Note
This is irreversible.
- astra.functions.data_op(op, data, scalar, gpu_core, mask=None)[source]
Perform data operation on data.
- Parameters:
op – Operation to perform.
data – Data to perform operation on.
scalar – Scalar argument to data operation.
gpu_core – GPU core to perform operation on.
mask – Optional mask.
- astra.functions.geom_2vec(proj_geom)[source]
Returns a vector-based projection geometry from a basic projection geometry.
- Parameters:
proj_geom (
dict
) – Projection geometry to convert
- astra.functions.geom_postalignment(proj_geom, factor)[source]
Apply a postalignment to a vector-based projection geometry. Can be used to model the rotation axis offset.
For 2D geometries, the argument factor is a single float specifying the distance to shift the detector (measured in detector pixels).
For 3D geometries, factor can be a pair of floats specifying the horizontal resp. vertical distances to shift the detector. If only a single float is specified, this is treated as a horizontal shift.
- Parameters:
proj_geom (
dict
) – input projection geometryfactor (
float
) – number of pixels to shift the detector
- astra.functions.geom_size(geom, dim=None)[source]
Returns the size of a volume or sinogram, based on the projection or volume geometry.
- Parameters:
geom – Geometry to calculate size from
dim (
int
) – Optional axis index to return
- astra.functions.move_vol_geom(geom, pos, is_relative=False)[source]
Moves center of volume geometry to new position.
- Parameters:
geom (
dict
) – Input volume geometrypos (
tuple
) – Tuple (x,y[,z]) for new position, with the center of the image at (0,0[,0])is_relative (
bool
) – Whether new position is relative to the old position
- Returns:
dict
– Volume geometry with the new center