Preprint Case Report Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 4 June 2020 / Approved: 5 June 2020 / Online: 5 June 2020 (14:27:06 CEST)

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.

Subject Areas

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

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