These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

172 related items for PubMed ID: 17499951

  • 1. Quantitative analysis of emphysema in 3D using MDCT: influence of different reconstruction algorithms.
    Ley-Zaporozhan J, Ley S, Weinheimer O, Iliyushenko S, Erdugan S, Eberhardt R, Fuxa A, Mews J, Kauczor HU.
    Eur J Radiol; 2008 Feb; 65(2):228-34. PubMed ID: 17499951
    [Abstract] [Full Text] [Related]

  • 2. Paired inspiratory/expiratory volumetric thin-slice CT scan for emphysema analysis: comparison of different quantitative evaluations and pulmonary function test.
    Zaporozhan J, Ley S, Eberhardt R, Weinheimer O, Iliyushenko S, Herth F, Kauczor HU.
    Chest; 2005 Nov; 128(5):3212-20. PubMed ID: 16304264
    [Abstract] [Full Text] [Related]

  • 3. Improved correlation between CT emphysema quantification and pulmonary function test by density correction of volumetric CT data based on air and aortic density.
    Kim SS, Seo JB, Kim N, Chae EJ, Lee YK, Oh YM, Lee SD.
    Eur J Radiol; 2014 Jan; 83(1):57-63. PubMed ID: 22613510
    [Abstract] [Full Text] [Related]

  • 4. [Fully automatic detection and quantification of emphysema on thin section MD-CT of the chest by a new and dedicated software].
    Achenbach T, Weinheimer O, Buschsieweke C, Heussel CP, Thelen M, Kauczor HU.
    Rofo; 2004 Oct; 176(10):1409-15. PubMed ID: 15383971
    [Abstract] [Full Text] [Related]

  • 5. Texture-based quantification of pulmonary emphysema on high-resolution computed tomography: comparison with density-based quantification and correlation with pulmonary function test.
    Park YS, Seo JB, Kim N, Chae EJ, Oh YM, Lee SD, Lee Y, Kang SH.
    Invest Radiol; 2008 Jun; 43(6):395-402. PubMed ID: 18496044
    [Abstract] [Full Text] [Related]

  • 6. Quantitative analysis of emphysema in 3D using MDCT: correction of air offset in Toshiba scanners.
    Stoel BC, Connell M.
    Eur J Radiol; 2008 Feb; 65(2):235-6; author reply 237. PubMed ID: 18023548
    [No Abstract] [Full Text] [Related]

  • 7. Effects of CT section thickness and reconstruction kernel on emphysema quantification relationship to the magnitude of the CT emphysema index.
    Gierada DS, Bierhals AJ, Choong CK, Bartel ST, Ritter JH, Das NA, Hong C, Pilgram TK, Bae KT, Whiting BR, Woods JC, Hogg JC, Lutey BA, Battafarano RJ, Cooper JD, Meyers BF, Patterson GA.
    Acad Radiol; 2010 Feb; 17(2):146-56. PubMed ID: 19931472
    [Abstract] [Full Text] [Related]

  • 8. Robust, standardized quantification of pulmonary emphysema in low dose CT exams.
    Ceresa M, Bastarrika G, de Torres JP, Montuenga LM, Zulueta JJ, Ortiz-de-Solorzano C, Muñoz-Barrutia A.
    Acad Radiol; 2011 Nov; 18(11):1382-90. PubMed ID: 21852160
    [Abstract] [Full Text] [Related]

  • 9. Computer-aided measurements of pulmonary emphysema in chest multidetector-row spiral computed tomography: effect of image reconstruction parameters.
    Behrendt FF, Das M, Mahnken AH, Kraus T, Bakai A, Stanzel S, Günther RW, Wildberger JE.
    J Comput Assist Tomogr; 2008 Nov; 32(6):899-904. PubMed ID: 19204452
    [Abstract] [Full Text] [Related]

  • 10. Clinical lymph node staging--influence of slice thickness and reconstruction kernel on volumetry and RECIST measurements.
    Fabel M, Wulff A, Heckel F, Bornemann L, Freitag-Wolf S, Heller M, Biederer J, Bolte H.
    Eur J Radiol; 2012 Nov; 81(11):3124-30. PubMed ID: 22464844
    [Abstract] [Full Text] [Related]

  • 11. Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison.
    Bak SH, Kim JH, Jin H, Kwon SO, Kim B, Cha YK, Kim WJ.
    Eur Radiol; 2020 Dec; 30(12):6779-6787. PubMed ID: 32601950
    [Abstract] [Full Text] [Related]

  • 12. Reconstruction algorithms influence the follow-up variability in the longitudinal CT emphysema index measurements.
    Hochhegger B, Irion KL, Marchiori E, Moreira JS.
    Korean J Radiol; 2011 Dec; 12(2):169-75. PubMed ID: 21430933
    [Abstract] [Full Text] [Related]

  • 13. Deep learning-enabled accurate normalization of reconstruction kernel effects on emphysema quantification in low-dose CT.
    Jin H, Heo C, Kim JH.
    Phys Med Biol; 2019 Jul 04; 64(13):135010. PubMed ID: 31185463
    [Abstract] [Full Text] [Related]

  • 14. Potential for dose reduction in CT emphysema densitometry with post-scan noise reduction: a phantom study.
    Wisselink HJ, Pelgrim GJ, Rook M, van den Berge M, Slump K, Nagaraj Y, van Ooijen P, Oudkerk M, Vliegenthart R.
    Br J Radiol; 2020 Jan 04; 93(1105):20181019. PubMed ID: 31724436
    [Abstract] [Full Text] [Related]

  • 15. Short-term reproducibility of computed tomography-based lung density measurements in alpha-1 antitrypsin deficiency and smokers with emphysema.
    Shaker SB, Dirksen A, Laursen LC, Maltbaek N, Christensen L, Sander U, Seersholm N, Skovgaard LT, Nielsen L, Kok-Jensen A.
    Acta Radiol; 2004 Jul 04; 45(4):424-30. PubMed ID: 15323395
    [Abstract] [Full Text] [Related]

  • 16. 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 04; 27(7):2950-2956. PubMed ID: 27847999
    [Abstract] [Full Text] [Related]

  • 17. [Quantification of pulmonary emphysema in multislice-CT using different software tools].
    Heussel CP, Achenbach T, Buschsieweke C, Kuhnigk J, Weinheimer O, Hammer G, Düber C, Kauczor HU.
    Rofo; 2006 Oct 04; 178(10):987-98. PubMed ID: 17021978
    [Abstract] [Full Text] [Related]

  • 18. Normal range of emphysema and air trapping on CT in young men.
    Mets OM, van Hulst RA, Jacobs C, van Ginneken B, de Jong PA.
    AJR Am J Roentgenol; 2012 Aug 04; 199(2):336-40. PubMed ID: 22826394
    [Abstract] [Full Text] [Related]

  • 19. Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification.
    Gallardo-Estrella L, Lynch DA, Prokop M, Stinson D, Zach J, Judy PF, van Ginneken B, van Rikxoort EM.
    Eur Radiol; 2016 Feb 04; 26(2):478-86. PubMed ID: 26002132
    [Abstract] [Full Text] [Related]

  • 20. Relationships of clinical protocols and reconstruction kernels with image quality and radiation dose in a 128-slice CT scanner: study with an anthropomorphic and water phantom.
    Paul J, Krauss B, Banckwitz R, Maentele W, Bauer RW, Vogl TJ.
    Eur J Radiol; 2012 May 04; 81(5):e699-703. PubMed ID: 21316888
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 9.