Print Email Facebook Twitter Development of a Retinal Eye Tracker for 3D Optical Coherence Tomography Title Development of a Retinal Eye Tracker for 3D Optical Coherence Tomography Author Kramer, L. Contributor Klop, W.A. (mentor) Spronck, J.W. (mentor) Faculty Mechanical, Maritime and Materials Engineering Department Precision and Microsystems Engineering Programme Mechatronic System Design Date 2016-01-14 Abstract Several eye diseases appear in the posterior part of the eye, i.e. the retina or fundus. Retinal images therefore provide valuable information to identify eye diseases. Optical Coherence Tomography (OCT) is a 3D imaging technique that can image the retina with a resolution and depth penetration that can not be achieved by any other non-invasive imaging technique. Although OCT can achieve high resolution, in vivo measurements are severely limited by eye motion. TNO developed a low-cost eye tracker with improved eye motion tracking compared to current state of the art eye trackers. The eye tracker images the retina at a high frame rate and measures eye motion with image correlation. The eye tracker has been successfully demonstrated on a breadboard setup and should be tested on human eyes. In this thesis the eye tracker is modified for application on human eyes. The main limitation of the current eye tracker is the large reflection from the eye cornea and lens. Therefore a new optical layout is designed to cancel this reflection, while optimizing for image resolution, sensor integration time and optical exposure on the human eye. Also other modifications are integrated to increase eye tracking performance. The modified eye tracker is build and tested on a breadboard setup with an artificial eye. The modified eye tracker achieves higher tracking performance than current state of the art eye trackers. Subject eye trackerretinafundus cameraeye motionoptical coherence tomography To reference this document use: http://resolver.tudelft.nl/uuid:88e585cf-a5e0-467b-8d78-0f9b03060495 Embargo date 2019-01-01 Part of collection Student theses Document type master thesis Rights (c) 2016 Kramer, L. Files PDF MScThesisKramer.pdf 11.28 MB Close viewer /islandora/object/uuid:88e585cf-a5e0-467b-8d78-0f9b03060495/datastream/OBJ/view