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weighted backprojection.
Weighted backprojection (WBP) is the standard reconstruction method in the field.
Here, we report on the implementation of popular reconstruction algorithms as weighted backprojection, simultaneous iterative reconstruction technique (SIRT) and simultaneous algebraic reconstruction technique (SART) on common graphics processors (GPUs).
Conventional reconstruction algorithms, such as weighted backprojection (WBP) or the simultaneous iterative reconstruction technique (SIRT), yield reasonable tomograms when the dataset is acquired with a high SNR and a fine angular sampling increment [1,2 and references therein].
Taking a projection every 2 ° over a full 180 ° tilt range (and therefore with no missing wedge) and reconstructing the full image using a weighted backprojection algorithm with a ramp filter results in immediate changes.
EIT scans were generated using the weighted backprojection reconstruction procedure along equipotential lines [ 7].
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We designed the fast algorithm to reproduce results obtained by the direct summation algorithm (also known as filtered or R-weighted backprojection).
We have used for this work a SIRT-type iterative approach to find a solution for Eq. (11); the weighted-backprojection operator (bar{mathcal{R}}^*_Gamma) being used to correct for the discrepancies at each iteration.
The images were reconstructed using the weighted filtered backprojection technique, in which the attenuation correction was made by detecting the edge of the object.
The FDK algorithm is a direct reconstruction weighted convolution-backprojection formula that attempts to compensate for the finite cone-angle in contrast to slice-by-slice reconstruction techniques using parallel- or fan-beam data.
Data is not weighted.
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