Row Action Algebraic Reconstruction Techniques Implementation in Graphic Cards using SCILAB (Benchmark in Medical Imaging, Seismic Imaging and Walnut Imaging)

Agah Drajat Garnadi; Muhammad Ilyas; M.T. Julianto; S. Nurdiati

doi:10.20944/preprints202006.0053.v1

How to cite: Garnadi, A.D.; Ilyas, M.; Julianto, M.; Nurdiati, S. Row Action Algebraic Reconstruction Techniques Implementation in Graphic Cards using SCILAB (Benchmark in Medical Imaging, Seismic Imaging and Walnut Imaging). Preprints 2020, 2020060053 (doi: 10.20944/preprints202006.0053.v1). Garnadi, A.D.; Ilyas, M.; Julianto, M.; Nurdiati, S. Row Action Algebraic Reconstruction Techniques Implementation in Graphic Cards using SCILAB (Benchmark in Medical Imaging, Seismic Imaging and Walnut Imaging). Preprints 2020, 2020060053 (doi: 10.20944/preprints202006.0053.v1).

Abstract

In this article we present a SCILAB implementation of algebraic iterative reconstruction methods for discretisation of inverse problems in imaging. These so-called row action methods rely on semi-convergence for achieving the necessary regularisation of the problem. We implement this method using SCILAB and provide a few simplified test problems: medical tomography, seismic tomography and walnut tomography.Numerical results show the capability of this method for the original and perturbed right-hand side vector.

Keywords

Algebraic iterative reconstruction; ART methods; Row-action methods; Graphics Cards;Tomographic imaging; Medical imaging; Seismic Imaging; Walnut Imaging.

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Row Action Algebraic Reconstruction Techniques Implementation in Graphic Cards using SCILAB (Benchmark in Medical Imaging, Seismic Imaging and Walnut Imaging)

Abstract

Keywords

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