155 related articles for article (PubMed ID: 15552113)
1. Quality assessment of DSA, ultrasound and CT digital images compressed with the JPEG protocol.
Okkalides D; Efremides S
Phys Med Biol; 1994 Sep; 39(9):1407-21. PubMed ID: 15552113
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Region-based wavelet coding methods for digital mammography.
Penedo M; Pearlman WA; Tahoces PG; Souto M; Vidal JJ
IEEE Trans Med Imaging; 2003 Oct; 22(10):1288-96. PubMed ID: 14552582
[TBL] [Abstract][Full Text] [Related]
5. Acceptable compression ratio of full-field digital mammography using JPEG 2000.
Kang BJ; Kim HS; Park CS; Choi JJ; Lee JH; Choi BG
Clin Radiol; 2011 Jul; 66(7):609-13. PubMed ID: 21450282
[TBL] [Abstract][Full Text] [Related]
6. Bone marrow edema pattern identification in patients with lytic bone lesions using digital subtraction angiography-like bone subtraction on large-area detector computed tomography.
Gondim Teixeira PA; Hossu G; Lecocq S; Razeto M; Louis M; Blum A
Invest Radiol; 2014 Mar; 49(3):156-64. PubMed ID: 24220254
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of irreversible JPEG compression for a clinical ultrasound practice.
Persons KR; Hangiandreou NJ; Charboneau NT; Charboneau J; James E; Douglas BR; Salmon AP; Knudsen JM; Erickson BJ
J Digit Imaging; 2002 Mar; 15(1):15-21. PubMed ID: 12134210
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
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. 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]
12. Perceptually tuned JPEG coder for echocardiac image compression.
Al-Fahoum AS; Reza AM
IEEE Trans Inf Technol Biomed; 2004 Sep; 8(3):313-20. PubMed ID: 15484437
[TBL] [Abstract][Full Text] [Related]
13. Towards a new tool for the evaluation of the quality of ultrasound compressed images.
Delgorge C; Rosenberger C; Poisson G; Vieyres P
IEEE Trans Med Imaging; 2006 Nov; 25(11):1502-9. PubMed ID: 17117779
[TBL] [Abstract][Full Text] [Related]
14. Diagnostic quality assessment of compressed sensing accelerated magnetic resonance neuroimaging.
Kayvanrad M; Lin A; Joshi R; Chiu J; Peters T
J Magn Reson Imaging; 2016 Aug; 44(2):433-44. PubMed ID: 26777856
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Use of image features in predicting visually lossless thresholds of JPEG2000 compressed body CT images: initial trial.
Kim KJ; Kim B; Lee KH; Mantiuk R; Richter T; Kang HS
Radiology; 2013 Sep; 268(3):710-8. PubMed ID: 23630311
[TBL] [Abstract][Full Text] [Related]
17. Despeckling of medical ultrasound images using data and rate adaptive lossy compression.
Gupta N; Swamy MN; Plotkin E
IEEE Trans Med Imaging; 2005 Jun; 24(6):743-54. PubMed ID: 15957598
[TBL] [Abstract][Full Text] [Related]
18. Automated optimization of JPEG 2000 encoder options based on model observer performance for detecting variable signals in X-ray coronary angiograms.
Zhang Y; Pham BT; Eckstein MP
IEEE Trans Med Imaging; 2004 Apr; 23(4):459-74. PubMed ID: 15084071
[TBL] [Abstract][Full Text] [Related]
19. Swelling archives warrant closer look at compression.
Schreiber D
Radiol Manage; 2003; 25(5):36-9. PubMed ID: 14603591
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]