Details
Original language | English |
---|---|
Pages (from-to) | 992-1002 |
Number of pages | 11 |
Journal | At-Automatisierungstechnik |
Volume | 70 |
Issue number | 11 |
Early online date | 16 Nov 2022 |
Publication status | Published - 25 Nov 2022 |
Abstract
Laser photocoagulation is a technique applied in the treatment of retinal disease, which 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, to ensure safety during the medical treatment procedure - despite the spot-dependent absorption of the tissue. The desired laser repetition rate of 1 kHz is renders the requirements on the computation time of the MPC feedback 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 tuned 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.
Keywords
- model predictive control, real-time control, retinal photocoagulation
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- Electrical and Electronic Engineering
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In: At-Automatisierungstechnik, Vol. 70, No. 11, 25.11.2022, p. 992-1002.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Model predictive control for retinal laser treatment at 1 kHz
AU - Schaller, Manuel
AU - Kleyman, Viktoria
AU - Mordmüller, Mario
AU - Schmidt, Christian
AU - Wilson, Mitsuru
AU - Brinkmann, Ralf
AU - Müller, Matthias A.
AU - Worthmann, Karl
N1 - Funding Information: The collaborative project “Temperature controlled retinal laser treatment” is funded by the German Research Foundation (DFG) under the project number 430154635 (MU 3929/3-1, WO 2056/7-1, BR 1349/6-1). Karl Worthmann gratefully acknowledges funding by the German Research Foundation (DFG; grant WO 2056/6-1, project number 406141926).
PY - 2022/11/25
Y1 - 2022/11/25
N2 - Laser photocoagulation is a technique applied in the treatment of retinal disease, which 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, to ensure safety during the medical treatment procedure - despite the spot-dependent absorption of the tissue. The desired laser repetition rate of 1 kHz is renders the requirements on the computation time of the MPC feedback 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 tuned 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.
AB - Laser photocoagulation is a technique applied in the treatment of retinal disease, which 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, to ensure safety during the medical treatment procedure - despite the spot-dependent absorption of the tissue. The desired laser repetition rate of 1 kHz is renders the requirements on the computation time of the MPC feedback 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 tuned 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.
KW - model predictive control
KW - real-time control
KW - retinal photocoagulation
UR - http://www.scopus.com/inward/record.url?scp=85143332964&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2202.12879
DO - 10.48550/arXiv.2202.12879
M3 - Article
AN - SCOPUS:85143332964
VL - 70
SP - 992
EP - 1002
JO - At-Automatisierungstechnik
JF - At-Automatisierungstechnik
SN - 0178-2312
IS - 11
ER -