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Author Otto, Tilman P.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract Ophthalmology (eye care) is an important medical discipline. Since 1961 the representation of the ocular vascular system using fluorescence dyes has been one of the most important methods used in the diagnosis of diseases of the human eye. The recently introduced laser scanning systems allows fast and continuous imaging of the complete inflow of dye into the vascular system. With the aid of APL as a well-suited image analysis tool it is now possible to analyze these image sequences to extract diagnostic relevant blood flow parameters. During the image acquisition there are unavoidable eye movements which render the automatic follow up of a specific area over time more difficult. Therefore a method has been developed to robustly analyze the eye movements. Beside the determination of the filling delay, i.e. the time of dye appearance for every point, the filling time has been measured. Result images will be presented for two different cases. A slightly modified algorithm is able to automatically compose a panoramic wide-angle retinal image out of partially overlapping single images. The APL system itself (called APL2C) and the algorithms for the image processing have been developed by the author and are not commercially available.
Description Affiliation: Paul-Martin-Ufer 13, 68163 Mannheim, Germany (Otto, Tilman P.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1988-12-01
Publisher Place New York
Journal ACM SIGAPL APL Quote Quad (APLQ)
Volume Number 30
Issue Number 4
Page Count 10
Starting Page 176
Ending Page 185


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Source: ACM Digital Library