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Niemantsverdriet, Ruben (author)
The periconceptional period, encompassing the embryonic phase, is a critical window where a majority of reproductive failures, pregnancy complications, and adverse pregnancy outcomes arise. The Carnegie staging system comprises 23 stages which are based on embryonic morphological development. This allows for the assessment of normal and abnormal...
master thesis 2024
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Zwinkels, Anouk (author)
<b>Introduction</b>: Deep brain stimulation (DBS) is an important therapeutic option for various neurological diseases. For certain indications the optimal target cannot be identified on structural magnetic resonance imaging (MRI), but can be visualized with tractography. A recent improvement for clinical practice is the probabilistic...
master thesis 2023
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van Gurp, Samuel (author)
Background: Histopathological growth patterns (HGP) are a biomarker for predicting survival and systemic treatment effectiveness in colorectal liver metastasis (CRLM). Currently, HGP assessment in CRLM requires the resection specimen. Predicting the HGP from preoperative medical imaging could allow more personalised care and better outcomes....
master thesis 2023
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Gielen, Bente (author)
master thesis 2023
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Kwinkelenberg, Sven (author)
Magnetic resonance fingerprinting is an MRI-based technique that allows for fast, simultaneous quantitative mapping of multiple tissue parameters. Multi-component MRF (MC-MRF) additionally allows for the mapping of multiple tissue components per voxel. Currently, most MC-MRF implementations ignore any nonlinear effects on signals resulting from...
master thesis 2023
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van Oosterhoudt, Ruben (author)
Introduction: Magnetic Resonance Imaging is a commonly used technique for the initial diagnosis of gliomas. T1, T2, T2-FLAIR, and post-contrast T1 with gadolinium-based contrast agents (GBCAs) can show tumor characteristics. However, using this contrast agent poses a risk to patients with kidney failures, has environmental impact, and increases...
master thesis 2023
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Wilbers, Julia (author)
Purpose. Distal radius fractures are common fractures of the wrist. These fractures are often displaced and need reduction, after adequate reduction, the patients will have follow-up X-rays to check if the fracture stays stable. This is important because surgery might be required if the fracture becomes unstable. This can lead to delayed surgery...
master thesis 2022
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Chinea Hammecher, Claudia (author)
Glioma progression is monitored by routine MR scanning, enabling tumor growth evaluation with respect to earlier time-points. This growth may present both as a mass effect and as an extension of abnormalities into previously healthy tissue. To accurately quantify tumor growth and tumor-induced deformations, longitudinal intrasubject image...
master thesis 2022
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Creţu, Cristina (author)
Many pulmonary diseases, such as cystic fibrosis (CF), chronic obstructive pulmonary disease (COPD) or asthma are disrupting the lung perfusion/ventilation ratio. Therefore, monitoring it gives a good overview on the evolution of the disease. There are several imaging modalities to assess the ventilation and perfusion, but they either use...
master thesis 2022
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Al, Elise (author)
We present application and developments of qMRI. We reconstructed data from the Prediva Ouderen Extentie (POE) database and calculated quantitative maps. The POE database consists of 29 7 Tesla (T) whole-brain MRI scans, including both male and female participants covering the age group between 80 and 91 years old. We used this data to extend...
master 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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Nijsse, Hannah (author)
Low-field MRI is susceptible to temperature changes in magnet temperature, resulting in time-dependent inhomogeneities. This causes time-dependent phase shifts in the measured signal, leading to image distortions. In this project, a method is proposed to interleave short magnetic field (B0) mapping sequences in the target image acquisition for...
master thesis 2022
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de Graaf, Samantha (author)
Predicting functional outcome after intra-arterial treatment (IAT) in acute ischemic stroke (AIS) patients is an important aspect of treatment decision making and prognostics. Standard methods for functional outcome prediction after stroke combine baseline clinical (and radiological) parameters. In this study, we investigated to what extent...
master thesis 2022
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Heijdra, Amber (author)
Hypertrophic cardiomyopathy (HCM) is known as a frequent, genetic cardiovascular disease, often caused by mutations of sarcomere protein genes. HCM is primarily characterized by the presence of an increased left ventricular wall thickness, i.e. left ventricular hypertrophy (LVH). However, the disease appears to be asymptomatic in some patients,...
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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Enriquez Calzada, Patricia (author)
Quantitative MR obtains images containing meaningful physical and chemical characteristics of the tissues, allowing for comparison between patients. The procurement of this type of MRI through specific correction acquisition sequences tries to eliminate the maximum possible standardization problems that the technique inherently possesses....
master thesis 2021
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Werner, Oliver (author)
In clinical practice, as a first approximation, the severity of an abnormality on an image is often determined by measuring its volume. Researchers often first segment this abnormality with a neural network trained by voxel-wise labels and thereafter extract the volume. Instead of this indirect two steps approach, we propose to train neural...
master thesis 2020
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Ragunathan, CS (author)
A study has been conducted on the application of Spherical Harmonics based Statistical Shape Modelling for Image Segmentation. This study is focused on the segmentation of Wrist bones using the above mentioned technique.
master thesis 2019
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Konduri, Praneeta (author)
Surgical ventricular reconstruction aims to restore the ideal left ventricular geometry and function and is used as a treatment modality for patients with severe ischemic cardiomyopathy. This study addresses the clinical need for in-silico modelling to estimate the effect of left ventricular reconstruction through Revivent Myocardial Anchoring...
master thesis 2017
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