mantidimaging.core.reconstruct.base_recon module#

class mantidimaging.core.reconstruct.base_recon.BaseRecon[source]#

Bases: object

static allowed_filters() → list[str][source]#
static find_cor(images: ImageStack, slice_idx: int, start_cor: float, recon_params: ReconstructionParameters) → float[source]#
static full(images: ImageStack, recon_params: ReconstructionParameters, progress: Progress | None = None) → ImageStack[source]#

Performs a volume reconstruction using sample data provided as sinograms.

Parameters:

  • images – ImageStack containing the sinogram array, COR, and projection angle data

  • recon_params – Reconstruction Parameters

  • progress – Optional progress reporter

Returns:

3D image data for reconstructed volume

static negative_log(data: ndarray) → ndarray[source]#
static prepare_sinogram(data: np.ndarray, recon_params: ReconstructionParameters) → np.ndarray[source]#
static single_sino(images: ImageStack, slice_idx: int, recon_params: ReconstructionParameters, progress: Progress | None = None) → np.ndarray[source]#

Reconstruct a single sinogram

Parameters:

  • images – ImageStack containing the sinogram array, COR, and projection angle data

  • slice_idx – The index of the sinogram to reconstruct

  • recon_params – Reconstruction parameters to configure which algorithm/filter/etc is used

  • progress – Optional progress reporter

The center of rotation for parallel geometry will be converted to vector geometry before reconstructing

Returns:

2D image data for reconstructed slice