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| AstraReconGpu | |||||
| Process category | Brief description | Computational demand (low, medium, high) | Comment(s) | Reference(s) | Common alternative process(es) |
|---|---|---|---|---|---|
| reconstructor | To reconstruct normalised and conditioned data. | Uses GPU resources. | The Astra Toolbox | ||
Parameters
| Code Block | ||
|---|---|---|
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>>> disp -avv
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1) AstraReconGpu(savu.plugins.reconstructions.astra_recons.astra_recon_gpu)
Wrapper around the Astra toolbox for gpu reconstruction
1) init_vol : None
Dataset to use as volume initialiser (doesn't currently work with preview).
2) preview : []
A slice list of required frames.
3) log : True
Take the log of the data before reconstruction (True or False).
4) algorithm : FBP_CUDA
Reconstruction type (FBP_CUDA|SIRT_CUDA| SART_CUDA (not currently
working)|CGLS_CUDA|FP_CUDA|BP_CUDA| SIRT3D_CUDA|CGLS3D_CUDA).
5) n_iterations : 1
Number of Iterations - only valid for iterative algorithms.
6) res_norm : False
Output the residual norm at each iteration (Error in the solution - iterative
solvers only).
7) centre_of_rotation : 0.0
Centre of rotation to use for the reconstruction.
8) FBP_filter : ram-lak
The FBP reconstruction filter type (none|ram-lak| shepp-
logan|cosine|hamming|hann|tukey|lanczos|triangular|gaussian| barlett-
hann|blackman|nuttall|blackman-harris|blackman-nuttall| flat-top|kaiser|parzen).
9) in_datasets : []
Create a list of the dataset(s) to process.
10) ratio : 0.95
Ratio of the masks diameter in pixels to the smallest edge size along given axis.
11) out_datasets : []
Create a list of the dataset(s) to create.
12) centre_pad : False
Pad the sinogram to centre it in order to fill the reconstructed volume ROI for
asthetic purposes - only available for selected algorithms and will be ignored if
unavailable (warning: This will increase the size of the data and the time to
compute the reconstruction.
13) outer_pad : False
Pad the sinogram to fill the reconstructed volume for asthetic purposes - only
available for selected algorithms and if centre_pad is True (warning: This will
significantly increase the size of the data and the time to compute the
reconstruction).
14) force_zero : [None, None]
Set any values in the reconstructed image outside of this range to zero.
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>>> |
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