Abstract
Planimetry is a suitable tool for follow-up of choroidal neovascularizations (CNV). By means of manual, computer-assisted, or automated image processing, areas of interest such as hemorrhages, drusen, CNV, detachment of pigment epithelium, or atrophy are dehneated. We describe an easy method of obtaining semiquantitative data from fluorescence angiographic findings in classic CNV.
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References
Akita K, Kuga H (1992) A computer method of understanding ocular fundus images. Pattern Recognition 15:431–433
Berger JW (1998) Quantitative, spatiotemporal image analysis of fundus features in age-related macular degeneration. Proc SPIE 3246:48–53
Bird AC et al (1995) An international classification and grading system for age-related maculopathy and age-related macular degeneration: The International ARM Epidemiological Study Group. Surv Ophthalmol 39:367–374
Goldbaum MH et al (1990) Digital image processing for ocular fundus images. Ophthalmol Clin North Am 3:447–466
Goldbaum MH et al (1993) Automated registration of digital ocular fundus images for comparison of lesions. Proc SPIE 1877:94–99
Hart WE, Goldbaum MH (1994) Registering retinal images using automatically selected control point pairs. In: IEEE Proceedings of International Conference of Computer Vision, pp 576–580
Kirkpatrick JN et al (1995) Quantitative image analysis of macular drusen from fundus photographs and scanning laser ophthalmoscope images. Eye 9:48–55
Klein R et al (1997) The five-year incidence and progression of age-related maculopathy: The Beaver Dam Eye Study. Ophthalmology 104:7–21
Morgan WH et al (1994) Automated extraction and quantification of macular drusen from fundal photographs. Aust N Z J Ophthalmol 22:7–12
Nagin P et al (1985) Measurement of fluorescein angiograms of the optic disc and retina using computerized image analysis. Ophthalmology 92:547–552
Peli E, Lahav M (1986) Drusen measurement from fundus photographs using computer image analysis. Ophthalmology 93:1575–1580
Phillips RP et al (1991) Detection and quantification of hyper-fluorescent leakage by computer analysis of fundus fluorescein angiograms. Graefe’s Arch Clin Exp Ophthalmol 229:329–335
Von Ruckmann A et al (1997) Fundus autofluorescence in agerelated macular disease imaged with a laser scanning ophthalmoscope. Invest Ophthalmol Vis Sci 38:478–486
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© 2001 Springer-Verlag Berlin Heidelberg
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Schwartz, R. (2001). Planimetry of Age-Related Macular Degeneration. In: Alberti, W.E., Richard, G., Sagerman, R.H. (eds) Age-Related Macular Degeneration. Medical Radiology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56439-0_4
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DOI: https://doi.org/10.1007/978-3-642-56439-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-63071-2
Online ISBN: 978-3-642-56439-0
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