Currently, for each radiotherapy patient a treatment plan is generated by a team of specialists with the help of a dedicated software application, called treatment planning system (TPS). This is a time-consuming and labour intensive process, while the final result may be suboptimal for individual patients. The problem to be solved is highly complex and there is no guarantee that the input of the team will lead the TPS towards generation of a plan that is (close to) optimality, accounting for the patient’s unique anatomy, tumour size and shape, etc. This concerns the team’s choices on the number of treatment beams and their directions, but also a priori choices on the mathematical treatment objectives and constraints applied into the TPS, that are often ‘optimized’ in the trial-and-error planning process.

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The printing of this thesis was partially funded by Elekta AB.
B.J.M. Heijmen (Ben)
Erasmus University Rotterdam
Erasmus MC: University Medical Center Rotterdam

Breedveld, S. (2013, March 13). Towards Automated Treatment Planning in Radiotherapy: A Mathematical Approach to Automated and Integrated Multi-Criterial Optimization of Beam Angles and IMRT Fluence Profiles. Retrieved from