High Accuracy Eye Tracking for Proton Therapy

High Accuracy Eye Tracking for Proton Therapy

Nayar, Gokul (TU Delft Mechanical, Maritime and Materials Engineering)

Verhaegen, Michel (mentor)
Soloviev, Oleg (graduation committee)
Giordano, Giulia (graduation committee)

Delft University of Technology

2017-11-15

Accurate and safe proton beam delivery is one of the most crucial tasks during Proton Therapy (PT) of ocular melanoma. The eye movement and gaze angle tracking system should be able to monitor in real time the eye position and orientation (6 degree of freedom) to exactly localize the tumor location inside the eye with respect to the proton beam. The system should also immediately switch the beam off if the tumor goes out of the irradiated area to protect vital organs and keep the non affected cells healthy. The non-invasive eye-tracking system will replace the painful surgical procedure of implantation of radio-opaque tantalum clips on the eye. In order to estimate accurately enough the eye gaze angle and torsion, a stereo imaging system consisting of two high-resolution imaging cameras and two infra-red beacons can be used. The six coordinates of the eye are extracted by image analysis of the acquired stereo camera images using the beacons reflections (glints) and location of the eye pupil. The accuracy of the method can be affected by motion artifacts and difficulty of pupil segmentation in some eyes. Further, the method is inclusive to cyclo-torsion (rotation of the eye about its optical axis). The eye-tracking system can thus benefit from motion artifacts suppression and implementation of analysis of the eye surface features, e.g. iris pattern. Another addition is to use steerable mounts and mirrors to improve measurements and, thus, eye tracking accuracy. The goal of this thesis is to build a prototype stereo eye-tracking system, write a tracking code and investigate the viability of this method for further improving eye tracking accuracy.

Eye Tracking
StereoVision
prototype

http://resolver.tudelft.nl/uuid:249e710d-02db-421f-afc7-b1a84af883ec

Student theses

master thesis

© 2017 Gokul Nayar