Parallel Implementation of the Katsevich's FBP Algorithm

<p>For spiral cone-beam CT, parallel computing is an effective approach to resolving the problem of heavy computation burden. It is well known that the major computation time is spent in the backprojection step for either filtered-backprojection (FBP) or backprojected-filtration (BPF) algorith...

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Format: Article
Language:English
Published: Wiley 2006-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://www.hindawi.com/GetArticle.aspx?doi=10.1155/IJBI/2006/17463
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collection DOAJ
description <p>For spiral cone-beam CT, parallel computing is an effective approach to resolving the problem of heavy computation burden. It is well known that the major computation time is spent in the backprojection step for either filtered-backprojection (FBP) or backprojected-filtration (BPF) algorithms. By the cone-beam cover method [1], the backprojection procedure is driven by cone-beam projections, and every cone-beam projection can be backprojected independently. Basing on this fact, we develop a parallel implementation of Katsevich's FBP algorithm. We do all the numerical experiments on a Linux cluster. In one typical experiment, the sequential reconstruction time is 781.3 seconds, while the parallel reconstruction time is 25.7 seconds with 32 processors.</p>
format Article
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issn 1687-4188
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series International Journal of Biomedical Imaging
spelling doaj-art-8db642844cd94251b8e7bd88d5451df42025-08-20T02:09:41ZengWileyInternational Journal of Biomedical Imaging1687-41882006-01-012006Parallel Implementation of the Katsevich's FBP Algorithm<p>For spiral cone-beam CT, parallel computing is an effective approach to resolving the problem of heavy computation burden. It is well known that the major computation time is spent in the backprojection step for either filtered-backprojection (FBP) or backprojected-filtration (BPF) algorithms. By the cone-beam cover method [1], the backprojection procedure is driven by cone-beam projections, and every cone-beam projection can be backprojected independently. Basing on this fact, we develop a parallel implementation of Katsevich's FBP algorithm. We do all the numerical experiments on a Linux cluster. In one typical experiment, the sequential reconstruction time is 781.3 seconds, while the parallel reconstruction time is 25.7 seconds with 32 processors.</p>http://www.hindawi.com/GetArticle.aspx?doi=10.1155/IJBI/2006/17463
spellingShingle Parallel Implementation of the Katsevich's FBP Algorithm
International Journal of Biomedical Imaging
title Parallel Implementation of the Katsevich's FBP Algorithm
title_full Parallel Implementation of the Katsevich's FBP Algorithm
title_fullStr Parallel Implementation of the Katsevich's FBP Algorithm
title_full_unstemmed Parallel Implementation of the Katsevich's FBP Algorithm
title_short Parallel Implementation of the Katsevich's FBP Algorithm
title_sort parallel implementation of the katsevich s fbp algorithm
url http://www.hindawi.com/GetArticle.aspx?doi=10.1155/IJBI/2006/17463