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Prior image constrained low-rank matrix decomposition method in limited-angle reverse helical cone-beam CT

Prior image constrained low-rank matrix decomposition method in limited-angle reverse helical... BACKGROUND: Limited-angle problem occurs in many applications of X-raycomputed tomography (CT) and it will lead to artifacts.OBJECTIVE: In this paper, we present the tomographic imaging of pipelinewhich is in service by cone-beam computed tomography (CBCT). And our purposeis to suppress the artifacts caused by the limited-angle problem.METHODS: First, traditional helical scanning strategy is adopted for thepipeline where can be fully scanned, and the slices with less or no defectsfrom the reconstructed image are selected to constitute the prior image.Then a limited-angle reverse helical scanning strategy is developed for thepipeline where can be scanned within limited angular range. Second,considering the constraint of the prior image and the resemblance amongslices of pipeline, an image model which incorporates the Schattenp(0<p<1)-norm penalty term is developed. Finally, split Bregmanalgorithm based method is utilized to solve the model.RESULTS: Numerical results show that our method is efficient and feasible insuppressing artifacts and it is superior to popular methods when the angularrange is small.CONCLUSION: The developed method is promising in suppressing the artifactsin limited-angle problems, and it can be potentially used in pipelinetesting. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of X-Ray Science and Technology IOS Press

Prior image constrained low-rank matrix decomposition method in limited-angle reverse helical cone-beam CT

Journal of X-Ray Science and Technology , Volume 23 (6): 14 – Dec 17, 2015

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Publisher
IOS Press
Copyright
Copyright © 2015 IOS Press and the authors. All rights reserved
ISSN
0895-3996
eISSN
1095-9114
DOI
10.3233/XST-150526
pmid
26756411
Publisher site
See Article on Publisher Site

Abstract

BACKGROUND: Limited-angle problem occurs in many applications of X-raycomputed tomography (CT) and it will lead to artifacts.OBJECTIVE: In this paper, we present the tomographic imaging of pipelinewhich is in service by cone-beam computed tomography (CBCT). And our purposeis to suppress the artifacts caused by the limited-angle problem.METHODS: First, traditional helical scanning strategy is adopted for thepipeline where can be fully scanned, and the slices with less or no defectsfrom the reconstructed image are selected to constitute the prior image.Then a limited-angle reverse helical scanning strategy is developed for thepipeline where can be scanned within limited angular range. Second,considering the constraint of the prior image and the resemblance amongslices of pipeline, an image model which incorporates the Schattenp(0<p<1)-norm penalty term is developed. Finally, split Bregmanalgorithm based method is utilized to solve the model.RESULTS: Numerical results show that our method is efficient and feasible insuppressing artifacts and it is superior to popular methods when the angularrange is small.CONCLUSION: The developed method is promising in suppressing the artifactsin limited-angle problems, and it can be potentially used in pipelinetesting.

Journal

Journal of X-Ray Science and TechnologyIOS Press

Published: Dec 17, 2015

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