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Makkinje, Andri (author)
The goal of radiotherapy is to maximize the dose to the target while minimizing the dose to normal tissue. Treatment plans are optimized for this goal and dose delivery is improved in accuracy and precision. The optimization is based on the delineations of the volumes of interest on the medical images of the patient. The problem is that these...
master thesis 2023
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Bohnenn, Sylvie (author)
Computational power is a challenge when it comes to the high-fidelity modeling of nuclear reactors. Detailed simulations of reactor physics involve complex calculations that require significant computing resources, which can be time-consuming and expensive. Reduced Order Modeling (ROM) allows for an approximation of a complex model by only...
master thesis 2023
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van der Meulen, Thomas (author)
To evaluate the effect of interplay due to breathing of the patient during proton treatment of lung tumors Interplay dose calculation techniques have been proposed in literature. The proposed method requires the deformation vector field (DVF) to register dose distributions of different phases in the breathing cycle to a reference phase. The DVF...
master thesis 2023
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de Groot, Chiel (author)
This thesis investigates the tissue sparing effect of FLASH (>40 Gy/s) radiation, as opposed to CONV (conventional, dose rates typically between 0.01­0.1 Gy/s) radiation. We irradiated zebrafish embryos (4 days past fertilisation) with 116 MeV protons. The aim was (1) to measure the effect, and (2) if the effect were significant, see whether...
master thesis 2022
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van Krimpen, Eline (author)
Treatment of early stage breast cancer is generally invasive to a patient's daily life while being treated. Therefore, to diminish the physical and psychological impact during and after recovery, a newly proposed minimally invasive therapy for early-stage breast cancer treatment is proposed. Within this study, this proposed treatment is modelled...
master thesis 2022
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Gajadhar, Vivek (author)
Dose calculations in proton therapy need to be computed as fast as possible for successful cancer treatment planning and execution. The dose calculation algorithms that provide enough accuracy for treatment planning, takes too much time to utilise; therefore there is a need for faster alternatives. One of the alternatives is using a...
bachelor thesis 2022
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van den Broek, Erik (author)
High-fidelity models are computationally intensive to work with in many-query applications, such as the design process of small modular reactors. A reduced order model of the high-fidelity model can still accurately determine the quantities of interest with only a fraction of the computational cost, and thus can potentially solve the...
master thesis 2022
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Geerts, Nathan (author)
In this report, a transformer based deep learning proton dose calculation algorithm called Dose Transformer Algorithm (DoTA) is described. This model learns to predict proton dose distributions by being trained with Monte Carlo generated data. Monte Carlo is the golden standard of proton dose calculation because it is very accurate, but it has...
bachelor thesis 2022
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Landman, Thomas (author)
Adaptive proton therapy (APT) removes one of the most significant sources of inaccuracy in treatment delivery, which is using a treatment plan based on an outdated patient anatomy. Adapting the plan throughout the treatment is crucial for delivering an optimal dose to the patient, whose anatomy is constantly changing. This is especially true for...
master thesis 2022
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Bougrimov, Denis (author)
Sensitivity analysis and uncertainty quantification of nuclear reactors requires many expensive high-fidelity simulations. To approximate the dynamics of such a time and parameter dependent system efficiently and effectively, reduced order modelling (ROM) is used. In previous research, a ROM was constructed which used a combination of proper...
master thesis 2022
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van der Hoeven, Thijs (author)
Treatment planning for radiation therapy is a complex process, as there are many machine parameters to determine for a treatment. To decrease the required labour and improve the plan quality, auto-planning systems have been developed, which can automatically generate high-quality treatment plans. These plans still have to be checked to ensure...
master thesis 2022
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van Malsen, Hans (author)
Numerical solving a full order model can be computationally and time expensive. For real time control problems, it may be infeasible to solve full order models. Reduced order models can be used in order to reduce the time and computational cost while maintaining a high enough accuracy. In this thesis, it will be researched if a convolutional...
master thesis 2022
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Niekolaas, Sofieke (author)
Radiotherapy is one of the main treatment modalities available to treat cancer. Radiotherapy treatment plans are created based on CT scans of the patient. In such scans the macroscopic tumor is visible, but microscopic disease present in the surrounding tissue cannot be observed. To achieve an optimal clinical outcome, both the macroscopic and...
master thesis 2021
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Spek, Bob (author)
Cancer is a disease that causes almost 10 million deaths each year. Currently, there is no perfect treatment for it. However, there is a promising treatment called proton radiotherapy. This works almost the same as one of the older cancer treatments called photon radiotherapy. However, radiotherapy with protons has an advantage in comparison...
bachelor thesis 2021
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Wielinga, Kevin (author)
Proton therapy is a great way to treat cancer, since protons can concentrate energy on one single spot, which minimises the irradiated healthy tissue. Because of this property protons are sensitive to uncertainties. Since the tumour is not stationary throughout the treatment, multiple scans are essential. With the current dose calculation...
bachelor thesis 2021
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Schornagel, Sander (author)
Cancer remains one of the leading causes of death in today's world. Radiation is a widely used in the treatment of cancer. One of the relatively newer methods is proton therapy, which can spare healthy tissues better than traditional photon treatments due to the unique Bragg peak of protons. A promising improvement is FLASH proton therapy, which...
master thesis 2021
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van den Bos, Joshua (author)
In this thesis, a new methodology called the adjoint method is developed to select an optimal set of beam angles and beam weights in external beam radiotherapy. The Linear Boltzmann Transport Equation is specifically adjusted for proton transport and forms the Fokker-Planck approximation. The Fokker-Planck approximation models proton transport....
master thesis 2021
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Springer, Sam (author)
The delineation of the regions of interest (ROIs) plays an important role in the radiotherapy workflow. The ROIs include the gross tumor volume (GTV), the clinical target volume (CTV), the planning target volume (PTV) and organs at risk (OARs). There are however uncertainties related to the delineation of the ROIs due to inter­observer...
master thesis 2021
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Meerbothe, Thierry (author)
Radiotherapy treatment planning is a complex and time consuming process prone to differences as result of choices of individual planners. Autoplanning systems have been introduced to both reduce the time consumption and to counteract the influence of individual planning choices. Although autoplanning generally increases performance of the...
master thesis 2021
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Kirana, Jeremy (author)
During proton therapy treatments of lung tumors, interplay effects occur due to the simultaneous movement of the tumor due to patient’s respiratory breathing motion and the scanning pencil beam. These effects make delivering the dose to the target challenging. In this project the biological effects of breathing interplay for proton therapy...
bachelor thesis 2020
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