Modeling and parameter identification for real-time temperature controlled retinal laser therapies

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

Organisationseinheiten

Externe Organisationen

  • Technische Universität Ilmenau
  • Medizinisches Laserzentrum Lübeck GmbH
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)953-966
Seitenumfang14
FachzeitschriftAt-Automatisierungstechnik
Jahrgang68
Ausgabenummer11
Frühes Online-Datum28 Okt. 2020
PublikationsstatusVeröffentlicht - 26 Nov. 2020

Abstract

Laser photocoagulation is a widely used treatment for a variety of retinal diseases. Temperature-controlled irradiation is a promising approach to enable uniform heating, reduce the risks of over- or undertreatment, and unburden the ophthalmologists from a time consuming manual power titration. In this paper, an approach is proposed for the development of models with different levels of detail, which serve as a basis for improved, more accurate observer and control designs. To this end, we employ a heat diffusion model and propose a suitable discretization and subsequent model reduction procedures. Since the absorption of the laser light can vary strongly at each irradiation site, a method for identifying the absorption coefficient is presented. To identify a parameter in a reduced order model, an optimal interpolatory projection method for parametric systems is used. In order to provide an online identification of the absorption coefficient, we prove and exploit monotonicity of the parameter influence.

ASJC Scopus Sachgebiete

Zitieren

Modeling and parameter identification for real-time temperature controlled retinal laser therapies. / Kleyman, Viktoria; Gernandt, Hannes; Worthmann, Karl et al.
in: At-Automatisierungstechnik, Jahrgang 68, Nr. 11, 26.11.2020, S. 953-966.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Kleyman V, Gernandt H, Worthmann K, Abbas HS, Brinkmann R, Müller MA. Modeling and parameter identification for real-time temperature controlled retinal laser therapies. At-Automatisierungstechnik. 2020 Nov 26;68(11):953-966. Epub 2020 Okt 28. doi: 10.1515/auto-2020-0074
Kleyman, Viktoria ; Gernandt, Hannes ; Worthmann, Karl et al. / Modeling and parameter identification for real-time temperature controlled retinal laser therapies. in: At-Automatisierungstechnik. 2020 ; Jahrgang 68, Nr. 11. S. 953-966.
Download
@article{20fea3c2bb9a47eaba5edb6df064eb4a,
title = "Modeling and parameter identification for real-time temperature controlled retinal laser therapies",
abstract = "Laser photocoagulation is a widely used treatment for a variety of retinal diseases. Temperature-controlled irradiation is a promising approach to enable uniform heating, reduce the risks of over- or undertreatment, and unburden the ophthalmologists from a time consuming manual power titration. In this paper, an approach is proposed for the development of models with different levels of detail, which serve as a basis for improved, more accurate observer and control designs. To this end, we employ a heat diffusion model and propose a suitable discretization and subsequent model reduction procedures. Since the absorption of the laser light can vary strongly at each irradiation site, a method for identifying the absorption coefficient is presented. To identify a parameter in a reduced order model, an optimal interpolatory projection method for parametric systems is used. In order to provide an online identification of the absorption coefficient, we prove and exploit monotonicity of the parameter influence.",
keywords = "identification, parametric model order reduction, retinal photocoagulation",
author = "Viktoria Kleyman and Hannes Gernandt and Karl Worthmann and Abbas, {Hossam S.} and Ralf Brinkmann and M{\"u}ller, {Matthias A.}",
year = "2020",
month = nov,
day = "26",
doi = "10.1515/auto-2020-0074",
language = "English",
volume = "68",
pages = "953--966",
journal = "At-Automatisierungstechnik",
issn = "0178-2312",
publisher = "Walter de Gruyter GmbH",
number = "11",

}

Download

TY - JOUR

T1 - Modeling and parameter identification for real-time temperature controlled retinal laser therapies

AU - Kleyman, Viktoria

AU - Gernandt, Hannes

AU - Worthmann, Karl

AU - Abbas, Hossam S.

AU - Brinkmann, Ralf

AU - Müller, Matthias A.

PY - 2020/11/26

Y1 - 2020/11/26

N2 - Laser photocoagulation is a widely used treatment for a variety of retinal diseases. Temperature-controlled irradiation is a promising approach to enable uniform heating, reduce the risks of over- or undertreatment, and unburden the ophthalmologists from a time consuming manual power titration. In this paper, an approach is proposed for the development of models with different levels of detail, which serve as a basis for improved, more accurate observer and control designs. To this end, we employ a heat diffusion model and propose a suitable discretization and subsequent model reduction procedures. Since the absorption of the laser light can vary strongly at each irradiation site, a method for identifying the absorption coefficient is presented. To identify a parameter in a reduced order model, an optimal interpolatory projection method for parametric systems is used. In order to provide an online identification of the absorption coefficient, we prove and exploit monotonicity of the parameter influence.

AB - Laser photocoagulation is a widely used treatment for a variety of retinal diseases. Temperature-controlled irradiation is a promising approach to enable uniform heating, reduce the risks of over- or undertreatment, and unburden the ophthalmologists from a time consuming manual power titration. In this paper, an approach is proposed for the development of models with different levels of detail, which serve as a basis for improved, more accurate observer and control designs. To this end, we employ a heat diffusion model and propose a suitable discretization and subsequent model reduction procedures. Since the absorption of the laser light can vary strongly at each irradiation site, a method for identifying the absorption coefficient is presented. To identify a parameter in a reduced order model, an optimal interpolatory projection method for parametric systems is used. In order to provide an online identification of the absorption coefficient, we prove and exploit monotonicity of the parameter influence.

KW - identification

KW - parametric model order reduction

KW - retinal photocoagulation

UR - http://www.scopus.com/inward/record.url?scp=85095768712&partnerID=8YFLogxK

U2 - 10.1515/auto-2020-0074

DO - 10.1515/auto-2020-0074

M3 - Article

VL - 68

SP - 953

EP - 966

JO - At-Automatisierungstechnik

JF - At-Automatisierungstechnik

SN - 0178-2312

IS - 11

ER -

Von denselben Autoren