SART_CUDA

This is a GPU implementation of the Simultaneous Algebraic Reconstruction Technique (SART) for 2D data sets. It takes projection data and an initial reconstruction as input, and returns the reconstruction after a specified number of SART iterations. Each iteration of SART consists of an FP and BP of one single projection direction. The order of the projections can be specified.

Supported geometries: parallel, fanflat, fanflat_vec.

Configuration options

name

type

description

cfg.ProjectorId

required

The astra_mex_projector ID of the projector.

cfg.ProjectionDataId

required

The astra_mex_data2d ID of the projection data

cfg.ReconstructionDataId

required

The astra_mex_data2d ID of the reconstruction data. The content of this when starting SART is used as the initial reconstruction.

cfg.option.SinogramMaskId

optional

If specified, the astra_mex_data2d ID of a projection-data-sized volume to be used as a mask.

cfg.option.ReconstructionMaskId

optional

If specified, the astra_mex_data2d ID of a volume-data-sized volume to be used as a mask.

cfg.option.MinConstraint

optional

If specified, all values below MinConstraint will be set to MinConstraint. This can, for example, be used to enforce non-negative reconstructions.

cfg.option.MaxConstraint

optional

If specified, all values above MaxConstraint will be set to MaxConstraint.

cfg.option.ProjectionOrder

optional

This specifies the order in which the projections are used. Possible values are: ‘random’ (default), ‘sequential’, and ‘custom’. If ‘custom’ is specified, the option.ProjectionOrderList is required.

cfg.option.ProjectionOrderList

optional

Required if option.ProjectionOrder = ‘custom’, ignored otherwise. A matlab vector containing the custom order in which the projections are used.

cfg.option.GPUindex

optional

Specifies which GPU to use. Default = 0.

cfg.option.DetectorSuperSampling

optional

Specifies the amount of detector supersampling, i.e. how many rays are cast per detector.

cfg.option.PixelSuperSampling

optional

Specifiec the amount of pixel supersampling, i.e. how many (one dimension) subpixels are generated from a single parent pixel.

Example

%% create phantom
V_exact = phantom(256);

%% create geometries
proj_geom = astra_create_proj_geom('parallel', 1.0, 256, linspace2(0,pi,180));
vol_geom = astra_create_vol_geom(256,256);

%% create forward projection
[sinogram_id, sinogram] = astra_create_sino_cuda(V_exact, proj_geom, vol_geom);

%% reconstruct
recon_id = astra_mex_data2d('create', '-vol', vol_geom, 0);
cfg = astra_struct('SART_CUDA');
cfg.ProjectionDataId = sinogram_id;
cfg.ReconstructionDataId = recon_id;
cfg.option.ProjectionOrder = 'custom';
cfg.option.ProjectionOrderList = [0:5:175 1:5:176 2:5:177 3:5:178 4:5:179];
sart_id = astra_mex_algorithm('create', cfg);
astra_mex_algorithm('iterate', sart_id, 10*180);
V = astra_mex_data2d('get', recon_id);
imshow(V, []);

%% garbage disposal
astra_mex_data2d('delete', sinogram_id, recon_id);
astra_mex_algorithm('delete', sart_id);