Ophthalmic Slitlamp-Based Computer-Aided Diagnosis: Image Processing Foundations

Authors:
Luca Bogoni;Jane C. Asmuth;David J. Hirvonen;Bojidar D. Madjarov;Jeffrey W. Berger
Affiliations:
-;-;-;-;-
Venue:
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Year:
2001

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Abstract

Computer aided diagnosis and treatment of retinal disorders is enabled through an ophthalmic augmented reality environment being developed around the standard slitlamp biomicroscope. This system will allow the physician to view superimposed fundus photographic and angiographic data on the real-time slitlamp biomicroscopic image. The overlay capability requires real-time image acquisition, processing, mosaicking and comparison. Non-real time capabilities include the co-registration of similar or differing sources such as slitlamp biomicroscope, fundus photograph, or angiograms. Mosaicking enables the creation of montages from a collection of images and provides a context for robust registration and comparison. This paper outlines the image-processing architecture and controls to provide these functionalities.