204 related articles for article (PubMed ID: 20124739)
1. [Evaluation of irreversible compressed images in computed radiography using physical image quality measures].
Watanabe H; Tsai DY; Lee Y; Nakamura T; Miyazaki M; Kuramochi Y; Kojima K
Nihon Hoshasen Gijutsu Gakkai Zasshi; 2009 Dec; 65(12):1618-27. PubMed ID: 20124739
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Clinical evaluation of compression ratios using JPEG2000 on computed radiography chest images.
Sung MM; Kim HJ; Yoo SK; Choi BW; Nam JE; Kim HS; Lee JH; Yoo HS
J Digit Imaging; 2002 Jun; 15(2):78-83. PubMed ID: 12297972
[TBL] [Abstract][Full Text] [Related]
5. Comparative evaluation of JPEG and JPEG2000 compression in quantitative digital subtraction radiography.
Fidler A; Likar B; Pernus F; Skaleric U
Dentomaxillofac Radiol; 2002 Nov; 31(6):379-84. PubMed ID: 12424637
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Quality of compressed medical images.
Shiao YH; Chen TJ; Chuang KS; Lin CH; Chuang CC
J Digit Imaging; 2007 Jun; 20(2):149-59. PubMed ID: 17318703
[TBL] [Abstract][Full Text] [Related]
8. Predicting the fidelity of JPEG2000 compressed CT images using DICOM header information.
Kim KJ; Kim B; Lee H; Choi H; Jeon JJ; Ahn JH; Lee KH
Med Phys; 2011 Dec; 38(12):6449-57. PubMed ID: 22149828
[TBL] [Abstract][Full Text] [Related]
9. A comparison of wavelet and Joint Photographic Experts Group lossy compression methods applied to medical images.
Iyriboz TA; Zukoski MJ; Hopper KD; Stagg PL
J Digit Imaging; 1999 May; 12(2 Suppl 1):14-7. PubMed ID: 10342156
[TBL] [Abstract][Full Text] [Related]
10. Near Lossless Compression for 3D Radiological Images Using Optimal Multilinear Singular Value Decomposition (3D-VOI-OMLSVD).
Boopathiraja S; Kalavathi P; Deoghare S; Prasath VBS
J Digit Imaging; 2023 Feb; 36(1):259-275. PubMed ID: 36038701
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of compressed lung CT image quality using quantitative analysis.
Yamamoto S; Johkoh T; Mihara N; Umeda T; Azuma M; Nakanishi S; Narumi Y; Naito H; Nakamura H
Radiat Med; 2001; 19(6):321-9. PubMed ID: 11837585
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. JPEG vs. JPEG2000: benchmarking with dermatological images.
Guarneri F; Vaccaro M; Guarneri C; Cannavò SP
Skin Res Technol; 2014 Feb; 20(1):67-73. PubMed ID: 23724923
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. JPEG2000 for automated quantification of immunohistochemically stained cell nuclei: a comparative study with standard JPEG format.
Lejeune M; López C; Bosch R; Korzyńska A; Salvadó MT; García-Rojo M; Neuman U; Witkowski Ł; Baucells J; Jaén J
Virchows Arch; 2011 Feb; 458(2):237-45. PubMed ID: 21085985
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Evaluation of the effect of JPEG and JPEG2000 image compression on the detection of diabetic retinopathy.
Conrath J; Erginay A; Giorgi R; Lecleire-Collet A; Vicaut E; Klein JC; Gaudric A; Massin P
Eye (Lond); 2007 Apr; 21(4):487-93. PubMed ID: 16456597
[TBL] [Abstract][Full Text] [Related]
19. Digital image compression in dermatology: format comparison.
Guarneri F; Vaccaro M; Guarneri C
Telemed J E Health; 2008 Sep; 14(7):666-70. PubMed ID: 18817495
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
