BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 18647884)

  • 1. Differences in compression artifacts on thin- and thick-section lung CT images.
    Bajpai V; Lee KH; Kim B; Kim KJ; Kim TJ; Kim YH; Kang HS
    AJR Am J Roentgenol; 2008 Aug; 191(2):W38-43. PubMed ID: 18647884
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Regional difference in compression artifacts in low-dose chest CT images: effects of mathematical and perceptual factors.
    Kim KJ; Kim B; Lee KH; Kim TJ; Mantiuk R; Kang HS; Kim YH
    AJR Am J Roentgenol; 2008 Aug; 191(2):W30-7. PubMed ID: 18647883
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artifacts in slab average-intensity-projection images reformatted from JPEG 2000 compressed thin-section abdominal CT data sets.
    Kim B; Lee KH; Kim KJ; Mantiuk R; Kim HR; Kim YH
    AJR Am J Roentgenol; 2008 Jun; 190(6):W342-50. PubMed ID: 18492876
    [TBL] [Abstract][Full Text] [Related]  

  • 4. JPEG2000 3D compression vs. 2D compression: an assessment of artifact amount and computing time in compressing thin-section abdomen CT images.
    Kim B; Lee KH; Kim KJ; Richter T; Kang HS; Kim SY; Kim YH; Seo J
    Med Phys; 2009 Mar; 36(3):835-44. PubMed ID: 19378744
    [TBL] [Abstract][Full Text] [Related]  

  • 5. JPEG 2000 compression of abdominal CT: difference in tolerance between thin- and thick-section images.
    Woo HS; Kim KJ; Kim TJ; Hahn S; Kim B; Kim YH; Lee KH
    AJR Am J Roentgenol; 2007 Sep; 189(3):535-41. PubMed ID: 17715097
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of perceptible artifacts in JPEG2000 compressed abdomen CT images using a perceptual image quality metric.
    Kim B; Lee KH; Kim KJ; Mantiuk R; Bajpai V; Kim TJ; Kim YH; Yoon CJ; Hahn S
    Acad Radiol; 2008 Mar; 15(3):314-25. PubMed ID: 18280929
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of perceptible artifacts in JPEG 2000-compressed chest CT images using mathematical and perceptual quality metrics.
    Kim B; Lee KH; Kim KJ; Mantiuk R; Hahn S; Kim TJ; Kim YH
    AJR Am J Roentgenol; 2008 Feb; 190(2):328-34. PubMed ID: 18212217
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Regional variance of visually lossless threshold in compressed chest CT images: lung versus mediastinum and chest wall.
    Kim TJ; Lee KH; Kim B; Kim KJ; Chun EJ; Bajpai V; Kim YH; Hahn S; Lee KW
    Eur J Radiol; 2009 Mar; 69(3):483-8. PubMed ID: 18194845
    [TBL] [Abstract][Full Text] [Related]  

  • 9. JPEG2000 compression of thin-section CT images of the lung: effect of compression ratio on image quality.
    Ringl H; Schernthaner RE; Bankier AA; Weber M; Prokop M; Herold CJ; Schaefer-Prokop C
    Radiology; 2006 Sep; 240(3):869-77. PubMed ID: 16868278
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Lossy three-dimensional JPEG2000 compression of abdominal CT images: assessment of the visually lossless threshold and effect of compression ratio on image quality.
    Ringl H; Schernthaner RE; Kulinna-Cosentini C; Weber M; Schaefer-Prokop C; Herold CJ; Schima W
    Radiology; 2007 Nov; 245(2):467-74. PubMed ID: 17890355
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Objective index of image fidelity for JPEG2000 compressed body CT images.
    Kim KJ; Lee KH; Kang HS; Kim SY; Kim YH; Kim B; Seo J; Mantiuk R
    Med Phys; 2009 Jul; 36(7):3218-26. PubMed ID: 19673221
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Advantage in image fidelity and additional computing time of JPEG2000 3D in comparison to JPEG2000 in compressing abdomen CT image datasets of different section thicknesses.
    Lee H; Lee KH; Kim KJ; Park S; Seo J; Shin YG; Kim B
    Med Phys; 2010 Aug; 37(8):4238-48. PubMed ID: 20879584
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effect of CT image compression on computer-assisted lung nodule volume measurement.
    Ko JP; Chang J; Bomsztyk E; Babb JS; Naidich DP; Rusinek H
    Radiology; 2005 Oct; 237(1):83-8. PubMed ID: 16126923
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comparison of three image fidelity metrics of different computational principles for JPEG2000 compressed abdomen CT images.
    Kim KJ; Kim B; Mantiuk R; Richter T; Lee H; Kang HS; Seo J; Lee KH
    IEEE Trans Med Imaging; 2010 Aug; 29(8):1496-503. PubMed ID: 20529734
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Image quality from high-resolution CT of the lung: comparison of axial scans and of sections reconstructed from volumetric data acquired using MDCT.
    Studler U; Gluecker T; Bongartz G; Roth J; Steinbrich W
    AJR Am J Roentgenol; 2005 Sep; 185(3):602-7. PubMed ID: 16120906
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Lossy 3D JPEG2000 compression of abdominal CT images in patients with acute abdominal complaints: effect of compression ratio on diagnostic confidence and accuracy.
    Ringl H; Schernthaner R; Sala E; El-Rabadi K; Weber M; Schima W; Herold CJ; Dixon AK
    Radiology; 2008 Aug; 248(2):476-84. PubMed ID: 18641251
    [TBL] [Abstract][Full Text] [Related]  

  • 17. JPEG2000 2D and 3D reversible compressions of thin-section chest CT images: improving compressibility by increasing data redundancy outside the body region.
    Kim KJ; Lee KH; Kim B; Richter T; Yun ID; Lee SU; Bae KT; Shim H
    Radiology; 2011 Apr; 259(1):271-7. PubMed ID: 21325033
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of three image comparison methods for the visual assessment of the image fidelity of compressed computed tomography images.
    Kim B; Lee H; Kim KJ; Seo J; Park S; Shin YG; Kim SH; Lee KH
    Med Phys; 2011 Feb; 38(2):836-44. PubMed ID: 21452721
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Thin-section CT of lung without ECG gating: 64-detector row CT can markedly reduce cardiac motion artifact which can simulate lung lesions.
    Yanagawa M; Tomiyama N; Sumikawa H; Inoue A; Daimon T; Honda O; Mihara N; Johkoh T; Nakamura H
    Eur J Radiol; 2009 Jan; 69(1):102-7. PubMed ID: 18068924
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Irreversible JPEG 2000 compression of abdominal CT for primary interpretation: assessment of visually lossless threshold.
    Lee KH; Kim YH; Kim BH; Kim KJ; Kim TJ; Kim HJ; Hahn S
    Eur Radiol; 2007 Jun; 17(6):1529-34. PubMed ID: 17119972
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.