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/*
-----------------------------------------------------------------------
Copyright 2012 iMinds-Vision Lab, University of Antwerp
Contact: astra@ua.ac.be
Website: http://astra.ua.ac.be
This file is part of the
All Scale Tomographic Reconstruction Antwerp Toolbox ("ASTRA Toolbox").
The ASTRA Toolbox is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
The ASTRA Toolbox is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>.
-----------------------------------------------------------------------
$Id$
*/
#ifndef _INC_ASTRA_CUDACGLSALGORITHM
#define _INC_ASTRA_CUDACGLSALGORITHM
#include "Globals.h"
#include "Config.h"
#include "CudaReconstructionAlgorithm2D.h"
#ifdef ASTRA_CUDA
namespace astra {
/**
* \brief
* This class contains a GPU implementation of the CGLS algorithm.
*
* \par XML Configuration
* \astra_xml_item{ProjectionGeometry, integer, Geometry of the projection data.}
* \astra_xml_item{VolumeGeometry, integer, Geometry of the volume data.}
* \astra_xml_item{ProjectionDataId, integer, Identifier of a projection data object as it is stored in the DataManager.}
* \astra_xml_item{ReconstructionDataId, integer, Identifier of a volume data object as it is stored in the DataManager.}
* \astra_xml_item_option{ReconstructionMaskId, integer, not used, Identifier of a volume data object that acts as a reconstruction mask. 0 = reconstruct on this pixel. 1 = don't reconstruct on this pixel.}
*
* \par MATLAB example
* \astra_code{
* cfg = astra_struct('CGLS_CUDA');\n
* cfg.ProjectionGeometry = proj_geom;\n
* cfg.VolumeGeometry = vol_geom;\n
* cfg.ProjectionDataId = sino_id;\n
* cfg.ReconstructionDataId = recon_id;\n
* cfg.option.ReconstructionMaskId = mask_id;\n
* alg_id = astra_mex_algorithm('create'\, cfg);\n
* astra_mex_algorithm('iterate'\, alg_id\, 10);\n
* astra_mex_algorithm('delete'\, alg_id);\n
* }
*
*/
class AstraCGLS;
class _AstraExport CCudaCglsAlgorithm : public CCudaReconstructionAlgorithm2D
{
public:
// type of the algorithm, needed to register with CAlgorithmFactory
static std::string type;
/** Default constructor, containing no code.
*/
CCudaCglsAlgorithm();
/** Destructor.
*/
virtual ~CCudaCglsAlgorithm();
/** Initialize the algorithm with a config object.
*
* @param _cfg Configuration Object
* @return initialization successful?
*/
virtual bool initialize(const Config& _cfg);
/** Initialize class, use sequential order.
*
* @param _pProjector Projector Object. (Ignored)
* @param _pSinogram ProjectionData2D object containing the sinogram
* @param _pReconstruction VolumeData2D for storing the reconstruction
* @param _iGPUindex Index of GPU to use. (Starting at 0.)
* @param _iDetectorSuperSampling Supersampling factor for the FP.
* @param _iPixelSuperSampling Square root of number of samples per voxel, used to compute the backprojection
*/
bool initialize(CProjector2D* _pProjector,
CFloat32ProjectionData2D* _pSinogram,
CFloat32VolumeData2D* _pReconstruction,
int _iGPUindex = 0, int _iDetectorSuperSampling = 1,
int _iPixelSuperSampling = 1);
/** Get a description of the class.
*
* @return description string
*/
virtual std::string description() const;
};
// inline functions
inline std::string CCudaCglsAlgorithm::description() const { return CCudaCglsAlgorithm::type; };
} // end namespace
#endif // ASTRA_CUDA
#endif
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