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

Research output: Contribution to journalArticleResearchpeer review

Authors

Research Organisations

External Research Organisations

  • Ilmenau University of Technology
  • Lübeck Medical Laser Centre
View graph of relations

Details

Original languageEnglish
Pages (from-to)953-966
Number of pages14
JournalAt-Automatisierungstechnik
Volume68
Issue number11
Early online date28 Oct 2020
Publication statusPublished - 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.

Keywords

    identification, parametric model order reduction, retinal photocoagulation

ASJC Scopus subject areas

Cite this

Modeling and parameter identification for real-time temperature controlled retinal laser therapies. / Kleyman, Viktoria; Gernandt, Hannes; Worthmann, Karl et al.
In: At-Automatisierungstechnik, Vol. 68, No. 11, 26.11.2020, p. 953-966.

Research output: Contribution to journalArticleResearchpeer 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 Oct 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 ; Vol. 68, No. 11. pp. 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 -

By the same author(s)