The effect of compression on clinical diagnosis of glaucoma based on non-analyzed confocal scanning laser ophthalmoscopy images

Ophthalmic Surgery Lasers and Imaging

Volumn 36, Issue 4, 2005, Pages 323-326

  Bélair, Marie Lyne ^a   Fansi, Alvine Kamdeu ^a,b   Descovich, Denise ^a,b   Leblanc, A R ^b   Harasymowycz, Paul ^a  

^a MAISONNEUVE ROSEMONT HOSPITAL   (Canada)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; GLAUCOMA; HEIDELBERG RETINA TOMOGRAPHY; HUMAN; IMAGE ANALYSIS; IMAGE COMPRESSION; IMAGE DISPLAY; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; PRIORITY JOURNAL; TOMOGRAPHY;

EID: 23044434883     PISSN: 15428877     EISSN: None     Source Type: Journal    
DOI: 10.3928/1542-8877-20050701-12     Document Type: Article

References (16)

1. Leske MC, Heijl A, Hussein M, Bengtsson B, Hyman L, Komaroff E. Factors for glaucoma progression and the effect of treatment: the Early Manifest Glaucoma Trial. Arch Ophthalmol. 2003;121:48-56.
2. Wormald RP, Rauf A. Glaucoma screening. J Med Screen. 1995;2:109-114.
3. Tuulonen A, Airaksinen PJ, Montagna A, Nieminen H. Screening for glaucoma with a non-mydriatic fundus camera. Acta Ophthalmol (Copenh). 1990;68:445-449.
4. Li HK, Tang RA, Oschner K, Koplos C, Grady J, Crump WJ. Telemedicine screening of glaucoma. Telemed J. 1999;5:283-290.
5. Caprioli J, Park HJ, Uqurlu S, Hoffman D. Slope of the peripapillary nerve fiber layer surface in glaucoma. Invest Ophthalmol Vis Sci. 1998;39:2321-2328.
6. Wiggins RH 3d, Davidson HC, Harnsberger HR, Lauman JR, Goede PA. Image file formats: past, present and future. Radiographies. 2001;21:789-798.
7. Yogesan K, Constable IJ, Morgan W, Soebadi DY. International transmission of tele-ophthalmology images. J Telemed Telecare. 2000;6:41-44.
8. Beauregard D, Lewis J, Piccolo M, Bedell H. Diagnosis of glaucoma using telemedicine: the effect of compression on the evaluation of optic nerve head cup-disc ratio. J Telemed Telecare. 2000;6(suppl 1):S123-S125.
9. Landis JR, Koch CG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159-174.
10. Eikelboom RH, Yogesan K, Barry CJ, et al. Methods and limits of digital image compression of retinal images for telemedicine. Invest Ophthalmol Vis Sci. 2000;41:1916-1924.
11. Ricke J, Maass P, Lopez Hanninen E, et al. Wavelet versus JPEG (Joint Photographic Expert Group) and fractal compression: impact on the detection of low-contrast details in computed radiographs. Invest Radiol. 1998;33:456-463.
12. Persons KR, Hangiandreou NJ, Charbonneau NT, et al. Evaluation of irreversible JPEG compression for a clinical ultrasound practice. J Digit Imaging. 2002;15:15-21.
13. Persons KR, Palisson P, Manduca A, Erickson BJ, Savcenko V. An analytical look at the effects of compression on medical images. J Digit Imaging. 1997;10(suppl 1):60-66.
14. Kalyanpur A, Neldesa VP, Taylor CR, Daftary AR, Brink JA. Evaluation of JPEG and wavelet compression of body CT images for direct digital teleradiologic transmission. Radiology. 2000;217:772-779.
15. Slone RM, Foos DH, Whiting BR, et al. Assessment of visually lossless irreversible image compression: comparison of three methods by using an image-comparison workstation. Radiology. 2000;215:543-553.
16. Yamamoto LG. Using JPEG image compression to facilitate telemedicine. Am J Emerg Med. 1995;13:55-57.