mantidimaging.core.reconstruct.cil_recon module

class mantidimaging.core.reconstruct.cil_recon.CILRecon

Bases: BaseRecon

static find_cor(images: Images, slice_idx: int, start_cor: float, recon_params: ReconstructionParameters) → float

static full(images: Images, cors: List[ScalarCoR], recon_params: ReconstructionParameters, progress: Progress | None = None)

Performs a volume reconstruction using sample data provided as sinograms.

Parameters:

• images – Array of sinogram images

• cors – Array of centre of rotation values

• proj_angles – Array of projection angles in radians

• recon_params – Reconstruction Parameters

• progress – Optional progress reporter

Returns:

3D image data for reconstructed volume

static set_up_TV_regularisation(image_geometry: ImageGeometry, acquisition_data: AcquisitionData, alpha: float)

static single_sino(sino: ndarray, cor: ScalarCoR, proj_angles: ProjectionAngles, recon_params: ReconstructionParameters, progress: Progress | None = None)

Reconstruct a single slice from a single sinogram. Used for the preview and the single slice button. Should return a numpy array,

mantidimaging.core.reconstruct.cil_recon.allowed_recon_kwargs() → dict