State and Parameter Estimation for Retinal Laser Treatment

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Viktoria Kleyman
  • Manuel Schaller
  • Mario Mordmuller
  • Mitsuru Wilson
  • Ralf Brinkmann
  • Karl Worthmann
  • Matthias A. Muller

Organisationseinheiten

Externe Organisationen

  • Technische Universität Ilmenau
  • Universität zu Lübeck
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)1366-1378
Seitenumfang13
FachzeitschriftIEEE Transactions on Control Systems Technology
Jahrgang31
Ausgabenummer3
PublikationsstatusVeröffentlicht - 2 Jan. 2023

Abstract

Adequate therapeutic retinal laser irradiation needs to be adapted to local absorption. This leads to time-consuming treatments as the laser power needs to be successively adjusted to avoid undertreatment and overtreatment caused by too low or too high temperatures. Closed-loop control can overcome this burden by means of temperature measurements. To allow for model predictive control schemes, the current state and the spot-dependent absorption need to be estimated. In this article, we thoroughly compare moving horizon estimator (MHE) and extended Kalman filter (EKF) designs for joint state and parameter estimation. We consider two different scenarios, the estimation of one or two unknown absorption coefficients. For one unknown parameter, both estimators perform very similarly. For two unknown parameters, we found that the MHE benefits from active parameter constraints at the beginning of the estimation, whereas after a settling time, both estimators perform again very similarly as long as the parameters are inside the considered parameter bounds.

ASJC Scopus Sachgebiete

Zitieren

State and Parameter Estimation for Retinal Laser Treatment. / Kleyman, Viktoria; Schaller, Manuel; Mordmuller, Mario et al.
in: IEEE Transactions on Control Systems Technology, Jahrgang 31, Nr. 3, 02.01.2023, S. 1366-1378.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Kleyman V, Schaller M, Mordmuller M, Wilson M, Brinkmann R, Worthmann K et al. State and Parameter Estimation for Retinal Laser Treatment. IEEE Transactions on Control Systems Technology. 2023 Jan 2;31(3):1366-1378. doi: 10.48550/arXiv.2203.12452, 10.1109/TCST.2022.3228442
Kleyman, Viktoria ; Schaller, Manuel ; Mordmuller, Mario et al. / State and Parameter Estimation for Retinal Laser Treatment. in: IEEE Transactions on Control Systems Technology. 2023 ; Jahrgang 31, Nr. 3. S. 1366-1378.
Download
@article{c8fc7a27901d469e8deb27814e6ab4bc,
title = "State and Parameter Estimation for Retinal Laser Treatment",
abstract = "Adequate therapeutic retinal laser irradiation needs to be adapted to local absorption. This leads to time-consuming treatments as the laser power needs to be successively adjusted to avoid undertreatment and overtreatment caused by too low or too high temperatures. Closed-loop control can overcome this burden by means of temperature measurements. To allow for model predictive control schemes, the current state and the spot-dependent absorption need to be estimated. In this article, we thoroughly compare moving horizon estimator (MHE) and extended Kalman filter (EKF) designs for joint state and parameter estimation. We consider two different scenarios, the estimation of one or two unknown absorption coefficients. For one unknown parameter, both estimators perform very similarly. For two unknown parameters, we found that the MHE benefits from active parameter constraints at the beginning of the estimation, whereas after a settling time, both estimators perform again very similarly as long as the parameters are inside the considered parameter bounds.",
keywords = "Absorption, Biomedical applications, Estimation, extended Kalman filtering, Laser beams, Measurement by laser beam, moving horizon estimation, Power lasers, Retina, state and parameter estimation, Temperature measurement, state and parameter",
author = "Viktoria Kleyman and Manuel Schaller and Mario Mordmuller and Mitsuru Wilson and Ralf Brinkmann and Karl Worthmann and Muller, {Matthias A.}",
year = "2023",
month = jan,
day = "2",
doi = "10.48550/arXiv.2203.12452",
language = "English",
volume = "31",
pages = "1366--1378",
journal = "IEEE Transactions on Control Systems Technology",
issn = "1063-6536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

Download

TY - JOUR

T1 - State and Parameter Estimation for Retinal Laser Treatment

AU - Kleyman, Viktoria

AU - Schaller, Manuel

AU - Mordmuller, Mario

AU - Wilson, Mitsuru

AU - Brinkmann, Ralf

AU - Worthmann, Karl

AU - Muller, Matthias A.

PY - 2023/1/2

Y1 - 2023/1/2

N2 - Adequate therapeutic retinal laser irradiation needs to be adapted to local absorption. This leads to time-consuming treatments as the laser power needs to be successively adjusted to avoid undertreatment and overtreatment caused by too low or too high temperatures. Closed-loop control can overcome this burden by means of temperature measurements. To allow for model predictive control schemes, the current state and the spot-dependent absorption need to be estimated. In this article, we thoroughly compare moving horizon estimator (MHE) and extended Kalman filter (EKF) designs for joint state and parameter estimation. We consider two different scenarios, the estimation of one or two unknown absorption coefficients. For one unknown parameter, both estimators perform very similarly. For two unknown parameters, we found that the MHE benefits from active parameter constraints at the beginning of the estimation, whereas after a settling time, both estimators perform again very similarly as long as the parameters are inside the considered parameter bounds.

AB - Adequate therapeutic retinal laser irradiation needs to be adapted to local absorption. This leads to time-consuming treatments as the laser power needs to be successively adjusted to avoid undertreatment and overtreatment caused by too low or too high temperatures. Closed-loop control can overcome this burden by means of temperature measurements. To allow for model predictive control schemes, the current state and the spot-dependent absorption need to be estimated. In this article, we thoroughly compare moving horizon estimator (MHE) and extended Kalman filter (EKF) designs for joint state and parameter estimation. We consider two different scenarios, the estimation of one or two unknown absorption coefficients. For one unknown parameter, both estimators perform very similarly. For two unknown parameters, we found that the MHE benefits from active parameter constraints at the beginning of the estimation, whereas after a settling time, both estimators perform again very similarly as long as the parameters are inside the considered parameter bounds.

KW - Absorption

KW - Biomedical applications

KW - Estimation

KW - extended Kalman filtering

KW - Laser beams

KW - Measurement by laser beam

KW - moving horizon estimation

KW - Power lasers

KW - Retina

KW - state and parameter estimation

KW - Temperature measurement

KW - state and parameter

UR - http://www.scopus.com/inward/record.url?scp=85147221102&partnerID=8YFLogxK

U2 - 10.48550/arXiv.2203.12452

DO - 10.48550/arXiv.2203.12452

M3 - Article

AN - SCOPUS:85147221102

VL - 31

SP - 1366

EP - 1378

JO - IEEE Transactions on Control Systems Technology

JF - IEEE Transactions on Control Systems Technology

SN - 1063-6536

IS - 3

ER -

Von denselben Autoren