Paper
30 April 2012 Image analysis in modern ophthalmology: from acquisition to computer assisted diagnosis and telemedicine
Andrés G. Marrugo, María S. Millán, Gabriel Cristóbal, Salvador Gabarda, Michal Sorel, Filip Sroubek
Author Affiliations +
Abstract
Medical digital imaging has become a key element of modern health care procedures. It provides visual documentation and a permanent record for the patients, and most important the ability to extract information about many diseases. Modern ophthalmology thrives and develops on the advances in digital imaging and computing power. In this work we present an overview of recent image processing techniques proposed by the authors in the area of digital eye fundus photography. Our applications range from retinal image quality assessment to image restoration via blind deconvolution and visualization of structural changes in time between patient visits. All proposed within a framework for improving and assisting the medical practice and the forthcoming scenario of the information chain in telemedicine.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrés G. Marrugo, María S. Millán, Gabriel Cristóbal, Salvador Gabarda, Michal Sorel, and Filip Sroubek "Image analysis in modern ophthalmology: from acquisition to computer assisted diagnosis and telemedicine", Proc. SPIE 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II, 84360C (30 April 2012); https://doi.org/10.1117/12.921299
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Cited by 9 scholarly publications.
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KEYWORDS
Image quality

Image enhancement

Ophthalmology

Telemedicine

Point spread functions

Deconvolution

Image processing

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