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Volumn 37, Issue 8, 2010, Pages 4138-4145

On the use of a proton path probability map for proton computed tomography reconstruction

Author keywords

algebraic reconstruction; Bayesian inference; image reconstruction; most likely path estimation; pCT reconstruction

Indexed keywords

BAYESIAN NETWORKS; COMPUTERIZED TOMOGRAPHY; INFERENCE ENGINES; MONTE CARLO METHODS; PROBABILITY;

EID: 78149487406     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3453767     Document Type: Article
Times cited : (31)

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  • 4
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  • 5
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    • A maximum probability proton path formalism for application in proton computed tomography
    • R. W. Schulte, S. N. Penfold, J. T. Tafas, and K. E. Schubert, "A maximum probability proton path formalism for application in proton computed tomography," Med. Phys. 35, 4849-4856 (2008).
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  • 6
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    • Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms
    • J. Tang, B. E. Nett, and G.-H. Chen, "Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms," Phys. Med. Biol. 54, 5781-5804 (2009).
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    • Tang, J.1    Nett, B.E.2    Chen, G.-H.3
  • 9
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    • Some practical remarks on multiple scattering
    • V. L. Highland, "Some practical remarks on multiple scattering," Nucl. Instrum. Methods 129, 497-499 (1975);
    • (1975) Nucl. Instrum. Methods , vol.129 , pp. 497-499
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  • 12
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    • The Fourier reconstruction of a head phantom
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    • Shepp, L.A.1    Logan, B.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.