Beamlet and energy layer reduction in IMPT by sparsity induced optimisation

Bachelor Thesis (2019)
Author(s)

A.F.J.G. Janssen (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Sebastiaan Breedveld – Mentor (Erasmus MC)

Marleen Keijzer – Mentor (TU Delft - Mathematical Physics)

D Lathouwers – Mentor (TU Delft - RST/Reactor Physics and Nuclear Materials)

Dion Gijswijt – Graduation committee member (TU Delft - Discrete Mathematics and Optimization)

Z. Perko – Graduation committee member (TU Delft - RST/Reactor Physics and Nuclear Materials)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2019 Anne-Fleur Janssen
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Anne-Fleur Janssen
Graduation Date
26-06-2019
Awarding Institution
Delft University of Technology
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

In Intensity Modified Proton Therapy, the number of energy layers and the number of beamlets determine the radiation time and the plan calculation time. The purpose of this research project is to test sparsity inducing terms to reduce both the energy layers and the beamlets.

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