284 related articles for article (PubMed ID: 12297972)
1. 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]
2. Clinical evaluation of irreversible image compression: analysis of chest imaging with computed radiography.
Ishigaki T; Sakuma S; Ikeda M; Itoh Y; Suzuki M; Iwai S
Radiology; 1990 Jun; 175(3):739-43. PubMed ID: 2343125
[TBL] [Abstract][Full Text] [Related]
3. [Use of compressed images for medical checkups: comparison between radiologists' subjective quality assessment and diagnostic usefulness].
Sugiyama N; Igarashi Y; Kohda E; Kohno A; Suzuki S; Tanaka T; Chiyasu S; Yokokura T
Nihon Igaku Hoshasen Gakkai Zasshi; 2005 Oct; 65(4):359-67. PubMed ID: 16334387
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. [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]
6. The effect of wavelet and discrete cosine transform compression of digital radiographs on the detection of subtle proximal caries. ROC analysis.
Schulze RK; Richter A; d'Hoedt B
Caries Res; 2008; 42(5):334-9. PubMed ID: 18701823
[TBL] [Abstract][Full Text] [Related]
7. 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]
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 research on JPEG2000 used in DICOM store service].
Li L; Zhang W; Tang C; Xing H
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Apr; 26(2):225-9. PubMed ID: 19499775
[TBL] [Abstract][Full Text] [Related]
10. Free-response receiver operating characteristic evaluation of lossy JPEG2000 and object-based set partitioning in hierarchical trees compression of digitized mammograms.
Penedo M; Souto M; Tahoces PG; Carreira JM; Villalón J; Porto G; Seoane C; Vidal JJ; Berbaum KS; Chakraborty DP; Fajardo LL
Radiology; 2005 Nov; 237(2):450-7. PubMed ID: 16244253
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of Lossy data compression of chest X-rays: a receiver operating characteristic study.
Kotter E; Roesner A; Torsten Winterer J; Ghanem N; Einert A; Jaeger D; Uhrmeister P; Langer M
Invest Radiol; 2003 May; 38(5):243-9. PubMed ID: 12750612
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
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. Pan-Canadian evaluation of irreversible compression ratios ("lossy" compression) for development of national guidelines.
Koff D; Bak P; Brownrigg P; Hosseinzadeh D; Khademi A; Kiss A; Lepanto L; Michalak T; Shulman H; Volkening A
J Digit Imaging; 2009 Dec; 22(6):569-78. PubMed ID: 18931879
[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. 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 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]
19. 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]
20. Networking of three dimensional sonography volume data.
Kratochwil A; Lee A; Schoisswohl A
Ultrasound Obstet Gynecol; 2000 Sep; 16(4):335-40. PubMed ID: 11169309
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]