Art
J-GLOBAL ID:201802270138054453
Reference number:18A1853561
Impact of statistical reconstruction and compressed sensing algorithms on projection data elimination during X-ray CT image reconstruction
X線CT画像再構成での投影データ削減に対する統計的再構成および圧縮センシングアルゴリズムの効果
Author (2):
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Material:
Volume:
34
Issue:
3
Page:
237-244
Publication year:
2018
JST Material Number:
X0007A
ISSN:
0911-6028
Document type:
Article
Article type:
原著論文
Country of issue:
Germany, Federal Republic of (DEU)
Language:
ENGLISH (EN)
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
,...
JST classification (1):
JST classification
Category name(code) classified by JST.
Basic radiology
Reference (24):
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Pan X, Sidky EY, Vannier M. Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction? Inverse Probl. 2009;25:1230009.
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Silva AC, Lawder HJ, Hara A, Kujak J, Pavlicek W. Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. Am J Roentgenol. 2010;194:191-9.
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Fleischmann D, Boas FE. Computed tomography-old ideas and new technology. Eur Radiol. 2011;21:510-7.
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Beister M, Kolditz D, Kalender WA. Iterative reconstruction methods in X-ray CT. Phys Med. 2012;28:94-108.
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Rashed EA, Kudo H. Statistical image reconstruction from limited projection data with intensity priors. Phys Med Biol. 2012;57:2039-61.
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