The Use of GPUs for Solving the Computed Tomography Problem

Computed tomography (CT) is a widespread method used to study the internal structure of objects. The method has applications in medicine, industry and other fields of human activity. In particular, Electronic Imaging, as a species CT, can be used to restore the structure of nanosized objects. Accura...

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Main Author: A.E. Kovtanyuk
Format: Article
Language:English
Published: Sumy State University 2014-07-01
Series:Журнал нано- та електронної фізики
Subjects:
Online Access:http://jnep.sumdu.edu.ua/download/numbers/2014/3/articles/jnep_2014_V6_03050.pdf
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author A.E. Kovtanyuk
author_facet A.E. Kovtanyuk
author_sort A.E. Kovtanyuk
collection DOAJ
description Computed tomography (CT) is a widespread method used to study the internal structure of objects. The method has applications in medicine, industry and other fields of human activity. In particular, Electronic Imaging, as a species CT, can be used to restore the structure of nanosized objects. Accurate and rapid results are in high demand in modern science. However, there are computational limitations that bound the possible usefulness of CT. On the other hand, the introduction of high-performance calculations using Graphics Processing Units (GPUs) provides improving quality and performance of computed tomography investigations. Moreover, parallel computing with GPUs gives significantly higher computation speeds when compared with (Central Processing Units) CPUs, because of architectural advantages of the former. In this paper a computed tomography method of recovering the image using parallel computations powered by NVIDIA CUDA technology is considered. The implementation of this approach significantly reduces the required time for solving the CT problem.
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publisher Sumy State University
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series Журнал нано- та електронної фізики
spelling doaj-art-74e8940e32884290803b6d036e92ffd42025-08-20T02:07:27ZengSumy State UniversityЖурнал нано- та електронної фізики2077-67722014-07-016303050-103050-4The Use of GPUs for Solving the Computed Tomography ProblemA.E. Kovtanyuk0Far Eastern Federal University, 8, Sukhanova Str., 690950 Vladivostok, RussiaComputed tomography (CT) is a widespread method used to study the internal structure of objects. The method has applications in medicine, industry and other fields of human activity. In particular, Electronic Imaging, as a species CT, can be used to restore the structure of nanosized objects. Accurate and rapid results are in high demand in modern science. However, there are computational limitations that bound the possible usefulness of CT. On the other hand, the introduction of high-performance calculations using Graphics Processing Units (GPUs) provides improving quality and performance of computed tomography investigations. Moreover, parallel computing with GPUs gives significantly higher computation speeds when compared with (Central Processing Units) CPUs, because of architectural advantages of the former. In this paper a computed tomography method of recovering the image using parallel computations powered by NVIDIA CUDA technology is considered. The implementation of this approach significantly reduces the required time for solving the CT problem.http://jnep.sumdu.edu.ua/download/numbers/2014/3/articles/jnep_2014_V6_03050.pdfElectronic imagingComputed tomographyParallel computingGraphics processing unit
spellingShingle A.E. Kovtanyuk
The Use of GPUs for Solving the Computed Tomography Problem
Журнал нано- та електронної фізики
Electronic imaging
Computed tomography
Parallel computing
Graphics processing unit
title The Use of GPUs for Solving the Computed Tomography Problem
title_full The Use of GPUs for Solving the Computed Tomography Problem
title_fullStr The Use of GPUs for Solving the Computed Tomography Problem
title_full_unstemmed The Use of GPUs for Solving the Computed Tomography Problem
title_short The Use of GPUs for Solving the Computed Tomography Problem
title_sort use of gpus for solving the computed tomography problem
topic Electronic imaging
Computed tomography
Parallel computing
Graphics processing unit
url http://jnep.sumdu.edu.ua/download/numbers/2014/3/articles/jnep_2014_V6_03050.pdf
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