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.

Additional Metadata
Keywords IMRT, beam angle optimization, cancer, iCycle, operations research, optimization, radiation therapy, radiotherapy, treatment planning
Promotor B.J.M. Heijmen (Ben)
Publisher Erasmus University Rotterdam
Sponsor The printing of this thesis was partially funded by Elekta AB.
ISBN 978-94-6108-396-8
Persistent URL hdl.handle.net/1765/38944
Note For links in the PDF to work in Acrobat, version 10 or newer is required
Citation
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. Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/38944