Retinal topography is affected by pathology such as drusen and tumors, and it may be useful to determine topography with fundus imaging when three-dimensional imaging is not available. In this talk, I will present a novel method of retinal topography scanning using the stripe projection technology of the CLARUSTM 700 (ZEISS, Dublin, CA) wide-field fundus camera. The camera projects stripes onto the retina and records images of the returned light while maintaining a small angle between illumination and imaging. We make use of this structured illumination, analyzing neighboring stripes to determine depth -i.e. the retinal topography – from both relative defocus and stripe displacements. The resulting topography maps are finally compared to three-dimensional data from optical coherence tomography imaging.
Lars Omlor is a staff research scientist for the central research department of Zeiss. He majored in Mathematics at the University Heidelberg and received his PhD (2009) in computer science from Ulm University. He has been working at Zeiss since 2010 and moved to Pleasanton (CA) in 2018. Most of his research is in the fields of computational imaging, image processing and machine learning..