  Laser photocoagulation is a technique applied in the treatment of retinal
diseases. While this is often done manually or using simple control schemes, we
pursue an optimization-based approach, namely Model Predictive Control (MPC),
to enforce bounds on the peak temperature and, thus, safety during the medical
treatment procedure - despite the spot-dependent absorption of the tissue. To
this end, a repetition rate of 1 kHz is desirable rendering the real-time
requirements a major challenge. We present a tailored MPC scheme using
parametric model reduction, an extended Kalman filter for the parameter and
state estimation, and suitably constructed stage costs and verify its
applicability both in simulation and experiments with porcine eyes. Moreover,
we give some insight on the implementation specifically tailored for fast
numerical computations.
