Searched for: contributor%3A%22Van+Gijzen%2C+M.B.+%28mentor%29%22
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Slingerland, Eva (author)
HER2+ breast cancer patients suffer from aggressive tumours that often respond well to treatment compared to HER2- patients. Currently, patients are all treated with the same number of anti-tumour treatments, although the required number to eradicate all tumour cells varies between patients. The goal is thus to have an individualised model based...
master thesis 2022
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ten Hagen, Erik (author)
Topology optimization is a branch of mechanical engineering in which the topology of a structure is created and optimized to certain conditions and restrictions. In the last few decades, the demand for highly accurate and complex models of these structures has increased and it has a big effect on the computational power needed. To ease the...
master thesis 2022
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Hulst, Naomi (author)
Parkinson’s Disease (PD) is the fastest growing neurodegenerative disease, currently affecting two to three percent of the population over 65. Studying functional connectivity (FC) in PD patients may provide new insights into how the disease alters brain organization in different subjects. We explored persistent homology (PH) as a method for...
master thesis 2022
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Lottering, Yara (author)
This Bachelor End Project Thesis is about creating parallel variants of time-dependent methods. To achieve this, the time-dependent problem is formulated as a large system of linear equations that is solved iteratively. This linear system is determined from the time-dependent linear heat equation in 1D that all the analysis is about. The...
bachelor thesis 2022
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Birkenhäger, Simone (author)
Cardiac perfusion magnetic resonance imagining (MRI) is often used for ischemic diagnostics. However, the currently most popular technique uses an intravenous contrast agent: gadoliniumchelate. As this injection can cause problems in patients with renal problems, which are more prevalent in cardiac patients, a non-contrast cardiac perfusion...
bachelor thesis 2022
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Bekkering, Aleid (author)
MRI has been used worldwide as an imaging modality for decades due to its ability to distinguish between soft tissues. However, MRIs cannot be used in all situations due to their extensive hard- and software. For this reason, research in the field of low-field MRI has been conducted. Low-field MRI systems do not use superconducting magnets but...
master thesis 2022
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Oudhof, Nathalie (author)
Every year, thousands of women are diagnosed with breast cancer. To increase their survival chance and improve the treatment plans available, it is important to accurately predict the patient's response to treatment. For HER2+ breast cancer patients, normally a set number of chemotherapy rounds are administered. However, perhaps some patients...
master thesis 2022
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Smilde, Elsemiek (author)
Deep learning is a growing field of research and and so is the application of deep learning to the analysis of medical images. Convolutional neural networks are used to diagnose diseases, determine risk of disease development, finding the exact area of abnormalities and and so on. Mammography is an imaging technique, which aims at the early...
master thesis 2022
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Zijta, Marcella (author)
Hydrocephalus is a disease where an excess of cerebrospinal fluid (CSF) is built up in the brain. It affects approximately 180.000 infants per year in sub-Saharan Africa. Magnetic resonance imaging (MRI) is an advantageous imaging method to diagnose hydrocephalus and examine the amount of fluid in the brain for treatment. Unfortunately, in sub...
master thesis 2021
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Heesterbeek, David (author)
Magnetic Resonance Fingerprinting (MRF) is a relatively new approach for simultaneously estimating multiple quantitative maps in one acquisition. Sequence optimisation for MRF can be a powerful tool in increasing the accuracy an precision of the quantitative results. Multi-component analysis in the MRF framework can distinguish multiple...
master thesis 2021
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Aafjes, Doris (author)
bachelor thesis 2021
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Oppelaar, Pieter (author)
In this report, the conversion from spin-echo signals, obtained with a low-field hand-held MRI scanner that was designed and built at the Leiden University, to images of the proton density within the sample is considered. This scanner does not make use of switchable gradient coils, but instead relies solely on the natural inhomogeneity of the...
bachelor thesis 2021
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Cuperman Coifman, Rafael (author)
been given to Human Activity Recognition (HAR) based on signals obtained by IMUs placed on different body parts. This thesis studies the usage of Deep Learning-based models to recognize different football activities in an accurate, robust, and fast manner. Several deep architectures were trained with data captured with IMU sensors placed on...
master thesis 2021
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Bristogiannis, Yperion (author)
The offshore industry can increase safety and efficiency during offshore operation by predicting actual wave induced ship-motions minutes ahead of time. By only using on-board equipment, such as the navigational radar, it is possible to deterministically predict incoming waves since the phase resolved<br/>description of the waves can be acquired...
master thesis 2021
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Steinebach, Koen (author)
In proton therapy, robust treatment planning is currently used to account for uncertainties in patient alignment and proton beam range. A way to overcome the limitations of robust treatment planning is to use probabilistic treatment planning, which can be computationally expensive due to the calculations of statistical measures of stochastic...
master thesis 2020
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Ippolito, Giulia (author)
This work is part of the low-fieldMRI project, which aims to bring portable, affordable, low-fieldMRI scanners to low-income countries. Replacing the superconducting magnets of conventional scanners with standard ones can significantly reduce the costs, but it also has a negative impact on the Signal-to-Noise Ratio (SNR). In order to circumvent...
master thesis 2020
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Vooijs, Irene (author)
Tetrahedron is working on a new design for large offshore cranes that can lift higher. This is necessary due to the increasing size of offshore wind turbines, and the inability of the conventional cranes to scale up without needing a larger ship that is carrying them. To compute the forces working on the trusses of the crane structure,...
master thesis 2020
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Francke, Age (author)
The purpose of this research is to investigate how much we are able to improve the reconstruction of images from a low-cost MRI-scanner prototype aimed to be employed in developing countries. We used a data-driven approach searching for linear combinations of signals from a small measured data-set to form reconstructed images. This was done by...
bachelor thesis 2020
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kleyn Winkel, Lars (author)
The goal of this project is to see if we can improve the treatment plan for proton therapy by using reduced order models and adjoint theory for proton therapy. We shall use a singular value decomposition on a dose distribution matrix to obtain the modes from which we can reconstruct every dose distribution. Using adjoint methodologies for proton...
bachelor thesis 2019
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Benedysiuk, Piotr (author)
The electrostatics has effect on conductance of nanowire devices. In this model electrostatics are described by nonlinear coupling of the Poisson and the Schr¨odinger equations. In presence of magnetic and electric field and spin-orbit interaction, conductance develops a feature called the helical gap. This gap is characterised by a drop of...
bachelor thesis 2019
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