Improving the quality, efficiency and robustness of radiation therapy planning and delivery through mathematical optimization

Research output: ThesisDoctoral ThesisScientific

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Abstract

Radiation therapy is an established cancer treatment which exploits ionizing radiation to harm tumourous cells. As radiation can pass through healthy tissue to reach the tumour, this treatment is particularly useful in the case of deep-seated tumours. However, it inevitably yields exposure of the healthy tissue to radiation. One can limit this exposure through the design of the treatment plan, i.e., the choice of beam location, beam intensities, delivery duration, beam collimation, and many more degrees of freedom. The treatment plan needs to be designed in such a way that the tumour receives a therapeutic dose, while limiting the dose to the surrounding healthy organs. This dissertation covers various topics in radiation therapy treatment plan optimization, and aims to improve the quality, efficiency and robustness of radiation therapy planning and delivery through mathematical optimization.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Tilburg University
Supervisors/Advisors
  • den Hertog, Dick, Promotor
  • Hoffmann, A.L., Co-promotor, External person
  • Craft, David, Co-promotor, External person
Award date31 Mar 2017
Place of PublicationTilburg
Publisher
Print ISBNs978 90 5668 508 9
Publication statusPublished - 2017

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title = "Improving the quality, efficiency and robustness of radiation therapy planning and delivery through mathematical optimization",
abstract = "Radiation therapy is an established cancer treatment which exploits ionizing radiation to harm tumourous cells. As radiation can pass through healthy tissue to reach the tumour, this treatment is particularly useful in the case of deep-seated tumours. However, it inevitably yields exposure of the healthy tissue to radiation. One can limit this exposure through the design of the treatment plan, i.e., the choice of beam location, beam intensities, delivery duration, beam collimation, and many more degrees of freedom. The treatment plan needs to be designed in such a way that the tumour receives a therapeutic dose, while limiting the dose to the surrounding healthy organs. This dissertation covers various topics in radiation therapy treatment plan optimization, and aims to improve the quality, efficiency and robustness of radiation therapy planning and delivery through mathematical optimization.",
author = "Marleen Balvert",
year = "2017",
language = "English",
isbn = "978 90 5668 508 9",
series = "CentER Dissertation Series",
publisher = "CentER, Center for Economic Research",
school = "Tilburg University",

}

Improving the quality, efficiency and robustness of radiation therapy planning and delivery through mathematical optimization. / Balvert, Marleen.

Tilburg : CentER, Center for Economic Research, 2017. 262 p.

Research output: ThesisDoctoral ThesisScientific

TY - THES

T1 - Improving the quality, efficiency and robustness of radiation therapy planning and delivery through mathematical optimization

AU - Balvert, Marleen

PY - 2017

Y1 - 2017

N2 - Radiation therapy is an established cancer treatment which exploits ionizing radiation to harm tumourous cells. As radiation can pass through healthy tissue to reach the tumour, this treatment is particularly useful in the case of deep-seated tumours. However, it inevitably yields exposure of the healthy tissue to radiation. One can limit this exposure through the design of the treatment plan, i.e., the choice of beam location, beam intensities, delivery duration, beam collimation, and many more degrees of freedom. The treatment plan needs to be designed in such a way that the tumour receives a therapeutic dose, while limiting the dose to the surrounding healthy organs. This dissertation covers various topics in radiation therapy treatment plan optimization, and aims to improve the quality, efficiency and robustness of radiation therapy planning and delivery through mathematical optimization.

AB - Radiation therapy is an established cancer treatment which exploits ionizing radiation to harm tumourous cells. As radiation can pass through healthy tissue to reach the tumour, this treatment is particularly useful in the case of deep-seated tumours. However, it inevitably yields exposure of the healthy tissue to radiation. One can limit this exposure through the design of the treatment plan, i.e., the choice of beam location, beam intensities, delivery duration, beam collimation, and many more degrees of freedom. The treatment plan needs to be designed in such a way that the tumour receives a therapeutic dose, while limiting the dose to the surrounding healthy organs. This dissertation covers various topics in radiation therapy treatment plan optimization, and aims to improve the quality, efficiency and robustness of radiation therapy planning and delivery through mathematical optimization.

M3 - Doctoral Thesis

SN - 978 90 5668 508 9

T3 - CentER Dissertation Series

PB - CentER, Center for Economic Research

CY - Tilburg

ER -

Balvert M. Improving the quality, efficiency and robustness of radiation therapy planning and delivery through mathematical optimization. Tilburg: CentER, Center for Economic Research, 2017. 262 p. (CentER Dissertation Series).