Paper
14 April 2000 Improving the visualization of drusen in age-related macular degeneration through maximum entropy digitization and stereo viewing
Peter Soliz, Sheila Coyne Nemeth, Maria Swift, Ana Edwards, Stacy Meuer, Jeffrey W. Berger M.D.
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Abstract
The purpose of this paper is to report on the effects of stereopsis, resolution, color, and contrast on detecting and evaluating lesions associated with age-related macular degeneration (ARMD) in retinal images. Ten stereo-pairs were scanned from 35-mm color photographs at two different spatial resolutions (33 pixels/mm and 100 pixels/mm). The effects of image quality were established by presenting the digital images to trained analysts with varying degrees of spatial resolution and contrast viewed in 2-D and stereo. Stereopsis was produced using shuttered goggles to view the stereo pair on the computer monitor. Resolution had less of an effect on feature detection than contrast for the ARMD lesions studied. Detection was reduced only 12% for a 4X reduction in spatial resolution. Detection of ARMD lesions was reduced by more than 50% when contrast was reduced by a factor of 4. There was a 10 - 20% increase in the ability to detect drusen using full color images compared to red-free. The stereo effect produced by the shutter glasses and computer monitor was similar to that observed in viewing stereo slides. With high digital image quality, the stereo viewing computer-based system demonstrated significant potential for grading and analysis of retinal images for ARMD.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter Soliz, Sheila Coyne Nemeth, Maria Swift, Ana Edwards, Stacy Meuer, and Jeffrey W. Berger M.D. "Improving the visualization of drusen in age-related macular degeneration through maximum entropy digitization and stereo viewing", Proc. SPIE 3981, Medical Imaging 2000: Image Perception and Performance, (14 April 2000); https://doi.org/10.1117/12.383119
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Computing systems

Image quality

Spatial resolution

Eye

Image resolution

Photography

Visualization

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