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, cors: List[ScalarCoR], recon_params: ReconstructionParameters, progress: Progress | None = None) ImageStack[source]

Performs a volume reconstruction using sample data provided as sinograms.

  • images – Array of sinogram images

  • cors – Array of centre of rotation values

  • proj_angles – Array of projection angles

  • recon_params – Reconstruction Parameters

  • progress – Optional progress reporter


3D image data for reconstructed volume

static negative_log(data: ndarray) ndarray[source]
static prepare_sinogram(data: ndarray, recon_params: ReconstructionParameters)[source]
static single_sino(sino: ndarray, cor: ScalarCoR, proj_angles: ProjectionAngles, recon_params: ReconstructionParameters, progress: Progress | None = None) ndarray[source]

Reconstruct a single sinogram

  • sino – The 2D sinogram as a numpy array

  • cor – Center of rotation for parallel geometry. It will be converted to vector geometry before reconstructing

  • proj_angles – Projection angles

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


2D image data for reconstructed slice