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: only cone. (cone_vec is not supported.)
Configuration options:
- cfg.ProjectionDataId (required)
The astra_mex_data3d ID of the projection data
- cfg.ReconstructionDataId (required)
The astra_mex_data3d ID of the reconstruction data.
- cfg.option.ShortScan (optional, defaults to false)
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.
- cfg.option.GPUindex (optional, defaults to 0)
The index (zero-based) of the GPU to use.
- cfg.option.VoxelSuperSampling (optional, defaults to 1)
For the backward projection, VoxelSuperSampling^3 rays will be used. This should only be used if your voxels in the reconstruction volume are larger than the detector pixels.