Evaluation of 3-d shape reconstruction of retinal fundus

Authors:
Tae Eun Choe;Isaac Cohen;Gerard Medioni;Alexander C. Walsh;SriniVas R. Sadda
Affiliations:
IRIS, University of Southern California, Los Angeles, CA;IRIS, University of Southern California, Los Angeles, CA;IRIS, University of Southern California, Los Angeles, CA;Doheny Eye Institute, Los Angeles, CA;Doheny Eye Institute, Los Angeles, CA
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2006

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Abstract

We present a method for the 3-D shape reconstruction of the retinal fundus from stereo paired images. Detection of retinal elevation plays a critical role in the diagnosis and management of many retinal diseases. However, since the shape of ocular fundus is nearly planar, its 3-D depth range is very narrow. Therefore, we use the location of vascular bifurcations and a plane+parallax approach to provide a robust estimation of the epipolar geometry. Matching is then performed using a mutual information algorithm for accurate estimation of the disparity maps. To validate our results, in the absence of camera calibration, we compared the results with measurements from the current clinical gold standard, optical coherence tomography (OCT).