Biologically-based radiation therapy planning and adjustable robust optimization

Stefan ten Eikelder

Research output: ThesisDoctoral Thesis

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Abstract

Radiation therapy is one of the main treatment modalities for various different cancer types. One of the core components of personalized treatment planning is the inclusion of patient-specific biological information in the treatment planning process. Using biological response models, treatment parameters such as the treatment length and dose distribution can be tailored, and mid treatment biomarker information can be used to adapt the treatment during its course. These additional degrees of freedom in treatment planning lead to new mathematical optimization problems. This thesis studies various optimization aspects of biologically-based treatment planning, and focuses on the influence of uncertainty. Adjustable robust optimization is the main technique used to study these problems, and is also studied independently of radiation therapy applications.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Tilburg University
Supervisors/Advisors
  • den Hertog, Dick, Promotor
  • Bortfeld, T., Promotor, External person
Award date20 Oct 2021
Place of PublicationTilburg
Publisher
Print ISBNs978 90 5668 662 8
DOIs
Publication statusPublished - 2021

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