FDK_CUDA

This is a GPU implementation of the FDK algorithm for 3D circular cone beam data sets. It takes projection data as input, and returns the reconstruction.

Supported geometries: cone, cone_vec.

Note: cone_vec geometries that significantly deviate from a circular scanning geometry will likely lead to artifacts in the reconstruction.

Configuration options

name	type	description
cfg.ProjectionDataId	required	The astra_mex_data3d ID of the projection data.
cfg.ReconstructionDataId	required	The astra_mex_data3d ID of the reconstruction data. The content of this is overwritten.
cfg.option.ShortScan	optional	If enabled, do Parker weighting to support non-360-degree data. This needs an angle range of at least 180 degrees plus twice the cone angle. (default: false)
cfg.FilterSinogramId	optional	The astra_mex_data2d ID of the custom filter data. The filter is applied in Fourier space, and every projection direction has its own filter (see ‘sinogram’ filter type for FBP_CUDA).
cfg.option.GPUindex	optional	The index (zero-based) of the GPU to use. (default: 0)
cfg.option.VoxelSuperSampling	optional	For the backward projection, VoxelSuperSampling^3 rays will be used. This should only be used if voxels in the reconstruction volume are larger than the detector pixels. (default: 1)