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Journal Abstract Search

141 related items for PubMed ID: 27847999

  • 1. Impact of iterative reconstructions on objective and subjective emphysema assessment with computed tomography: a prospective study.
    Martin SP, Gariani J, Hachulla AL, Botsikas D, Adler D, Karenovics W, Becker CD, Montet X.
    Eur Radiol; 2017 Jul; 27(7):2950-2956. PubMed ID: 27847999
    [Abstract] [Full Text] [Related]

  • 2. Emphysema quantification and lung volumetry in chest X-ray equivalent ultralow dose CT - Intra-individual comparison with standard dose CT.
    Messerli M, Ottilinger T, Warschkow R, Leschka S, Alkadhi H, Wildermuth S, Bauer RW.
    Eur J Radiol; 2017 Jun; 91():1-9. PubMed ID: 28629554
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  • 4. Quantitative analysis of emphysema and airway measurements according to iterative reconstruction algorithms: comparison of filtered back projection, adaptive statistical iterative reconstruction and model-based iterative reconstruction.
    Choo JY, Goo JM, Lee CH, Park CM, Park SJ, Shim MS.
    Eur Radiol; 2014 Apr; 24(4):799-806. PubMed ID: 24275806
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  • 5. Reducing Radiation Dose at Chest CT: Comparison Among Model-based Type Iterative Reconstruction, Hybrid Iterative Reconstruction, and Filtered Back Projection.
    de Margerie-Mellon C, de Bazelaire C, Montlahuc C, Lambert J, Martineau A, Coulon P, de Kerviler E, Beigelman C.
    Acad Radiol; 2016 Oct; 23(10):1246-54. PubMed ID: 27346234
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  • 7. Radiation Dose Consideration in Kidney Stone CT Examinations: Integration of Iterative Reconstruction Algorithms With Routine Clinical Practice.
    Andrabi Y, Pianykh O, Agrawal M, Kambadakone A, Blake MA, Sahani DV.
    AJR Am J Roentgenol; 2015 May; 204(5):1055-63. PubMed ID: 25905941
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  • 8. Ultralow-radiation-dose chest CT: accuracy for lung densitometry and emphysema detection.
    Wang R, Sui X, Schoepf UJ, Song W, Xue H, Jin Z, Schmidt B, Flohr TG, Canstein C, Spearman JV, Chen J, Meinel FG.
    AJR Am J Roentgenol; 2015 Apr; 204(4):743-9. PubMed ID: 25794063
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  • 9. Pulmonary emphysema quantification at low dose chest CT using Deep Learning image reconstruction.
    Ferri F, Bouzerar R, Auquier M, Vial J, Renard C.
    Eur J Radiol; 2022 Jul; 152():110338. PubMed ID: 35533559
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  • 12. The effect of iterative reconstruction on computed tomography assessment of emphysema, air trapping and airway dimensions.
    Mets OM, Willemink MJ, de Kort FP, Mol CP, Leiner T, Oudkerk M, Prokop M, de Jong PA.
    Eur Radiol; 2012 Oct; 22(10):2103-9. PubMed ID: 22618522
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  • 13. Pulmonary Emphysema Quantification on Ultra-Low-Dose Computed Tomography Using Model-Based Iterative Reconstruction With or Without Lung Setting.
    Hata A, Yanagawa M, Kikuchi N, Honda O, Tomiyama N.
    J Comput Assist Tomogr; 2018 Oct; 42(5):760-766. PubMed ID: 29958197
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  • 14. Emphysema quantification using hybrid versus model-based generations of iterative reconstruction: SAFIRE versus ADMIRE.
    Martin SP, Gariani J, Feutry G, Adler D, Karenovics W, Becker CD, Montet X.
    Medicine (Baltimore); 2019 Feb; 98(7):e14450. PubMed ID: 30762757
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  • 16. Comparison of the effects of model-based iterative reconstruction and filtered back projection algorithms on software measurements in pulmonary subsolid nodules.
    Cohen JG, Kim H, Park SB, van Ginneken B, Ferretti GR, Lee CH, Goo JM, Park CM.
    Eur Radiol; 2017 Aug; 27(8):3266-3274. PubMed ID: 28058482
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  • 18. Systematic error in lung nodule volumetry: effect of iterative reconstruction versus filtered back projection at different CT parameters.
    Willemink MJ, Leiner T, Budde RP, de Kort FP, Vliegenthart R, van Ooijen PM, Oudkerk M, de Jong PA.
    AJR Am J Roentgenol; 2012 Dec; 199(6):1241-6. PubMed ID: 23169714
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  • 19. Effects of Iterative Reconstruction Algorithms on Computer-assisted Detection (CAD) Software for Lung Nodules in Ultra-low-dose CT for Lung Cancer Screening.
    Nomura Y, Higaki T, Fujita M, Miki S, Awaya Y, Nakanishi T, Yoshikawa T, Hayashi N, Awai K.
    Acad Radiol; 2017 Feb; 24(2):124-130. PubMed ID: 27986507
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