Model predictive control for retinal laser treatment at 1 kHz

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Manuel Schaller
  • Viktoria Kleyman
  • Mario Mordmüller
  • Christian Schmidt
  • Mitsuru Wilson
  • Ralf Brinkmann
  • Matthias A. Müller
  • Karl Worthmann

Research Organisations

External Research Organisations

  • Ilmenau University of Technology
  • Lübeck Medical Laser Centre
  • Universität zu Lübeck
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Details

Original languageEnglish
Pages (from-to)992-1002
Number of pages11
JournalAt-Automatisierungstechnik
Volume70
Issue number11
Early online date16 Nov 2022
Publication statusPublished - 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

Cite this

Model predictive control for retinal laser treatment at 1 kHz. / Schaller, Manuel; Kleyman, Viktoria; Mordmüller, Mario et al.
In: At-Automatisierungstechnik, Vol. 70, No. 11, 25.11.2022, p. 992-1002.

Research output: Contribution to journalArticleResearchpeer review

Schaller, M, Kleyman, V, Mordmüller, M, Schmidt, C, Wilson, M, Brinkmann, R, Müller, MA & Worthmann, K 2022, 'Model predictive control for retinal laser treatment at 1 kHz', At-Automatisierungstechnik, vol. 70, no. 11, pp. 992-1002. https://doi.org/10.48550/arXiv.2202.12879, https://doi.org/10.1515/auto-2022-0030
Schaller, M., Kleyman, V., Mordmüller, M., Schmidt, C., Wilson, M., Brinkmann, R., Müller, M. A., & Worthmann, K. (2022). Model predictive control for retinal laser treatment at 1 kHz. At-Automatisierungstechnik, 70(11), 992-1002. https://doi.org/10.48550/arXiv.2202.12879, https://doi.org/10.1515/auto-2022-0030
Schaller M, Kleyman V, Mordmüller M, Schmidt C, Wilson M, Brinkmann R et al. Model predictive control for retinal laser treatment at 1 kHz. At-Automatisierungstechnik. 2022 Nov 25;70(11):992-1002. Epub 2022 Nov 16. doi: 10.48550/arXiv.2202.12879, 10.1515/auto-2022-0030
Schaller, Manuel ; Kleyman, Viktoria ; Mordmüller, Mario et al. / Model predictive control for retinal laser treatment at 1 kHz. In: At-Automatisierungstechnik. 2022 ; Vol. 70, No. 11. pp. 992-1002.
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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.",
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AU - Schaller, Manuel

AU - Kleyman, Viktoria

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AU - Schmidt, Christian

AU - Wilson, Mitsuru

AU - Brinkmann, Ralf

AU - Müller, Matthias A.

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