Searched for: contributor%3A%22Remis%2C+R.F.+%28mentor%29%22
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Helfferich, Florens (author)
The tissue electrical properties of conductivity and permittivity affect the interactions of electromagnetic fields in the body. These properties vary throughout the different tissues as the tissue structure and composition varies. In this thesis, medical imaging and diagnosis is used as primary example to motivate exploration of a novel...
master thesis 2024
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Hadjigeorgiou, Georgios (author)
This thesis research focuses on MRI technology and more specifically the evaluation of the generalized signal model (full-wave signal). The research aims to investigate how dielectric properties influence the magnetic fields in MRI scans, by using a more complex signal model that takes into account scattered fields caused by dielectric...
master thesis 2023
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Edelman, Jory (author)
Magnetic resonance electrical properties tomography is a type of quantitative magnetic resonance imaging that aims to reconstruct the conductivity and permittivity of biological tissue. These electrical properties of the tissue can be used to compute the specific absorption rate, to differentiate tumours from healthy tissue and for hyperthermia...
master thesis 2023
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Verseput, Marien (author)
Magnetic resonance imaging (MRI) is a non-invasive tool to image the body’s anatomy and physiology, but suffers from long scan times. Compressed Sensing (CS) is used to accelerate MRI scans by incoherently taking fewer measurements and using a nonlinear optimization algorithm to image the undersampled data. Convex optimization techniques are...
master thesis 2023
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Suresan, Anjali (author)
Atrial Fibrillation (AF) is a cardiac arrhythmia that occurs due to the initiation of electrical impulses in the heart in an uncoordinated manner, giving rise to a disorganized and rapid heartbeat. The progression of AF over time can lead to complications such as stroke and heart failure. Catheter ablation is an established treatment protocol...
master thesis 2023
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Licurici, Teodor (author)
Estimating the transmembrane currents travelling through the epicardium and local activation times based on atrial epicardial electrograms can greatly help in the study of cardiac arrhythmias such as atrial fibrillation. This work focuses on the accurate estimation of the aforementioned signals and features. To do this, two least squares-based...
master thesis 2023
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Haasjes, Corné (author)
Ultrasound imaging is an important modality in ocular oncology, allowing for fast examination of the eye by the ophthalmologist themselves. It is clinically used to measure tumour sizes for treatment planning. However, ocular ultrasound is limited to two-dimensional imaging, and suffers from poor contrast between tumour and sclera, which...
master thesis 2022
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Hendriks, Janine (author)
master thesis 2022
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Aggariyo Wanagiri, Aggariyo (author)
Low field magnetic resonance imaging (MRI) scanners provide a unique low-cost alternative to conventional MRI scanners. Nevertheless, low-field scanners come with drawbacks such as reduced signal-to-noise ratio and resolution, and also distorted images caused by magnetic field inhomogeneity and non-linear gradient fields. Despite this, it still...
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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van Hoeven, Michiel (author)
This research addresses the following question: Is it possible to detect vascular obstructions and oedemas or monitor the decellularization process in perfused ex-vivo porcine kidneys using electrical impedance spectroscopy? Patients on the waiting list for kidney transplantation die because of a kidney shortage. A part of this problem can be...
master thesis 2022
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van der Werff, Karen (author)
Magnetic Resonance Imaging (MRI) is a non-invasive, non-ionizing imaging modality that is commonly used in the clinic today. However, it is an expensive technique. The high purchase, operational and maintenance costs, as well as the need for trained staff with technical expertise, put this technique out of reach for a large part of the world...
master thesis 2021
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Liesker, Bas (author)
Magnetic resonance imaging (MRI) scanners are a crucial diagnostic tool for radiologists. They are able to render two­ and three­dimensional images of the body without exposure to harmful radiation. MRI systems are, however, costly to build and maintain. This adversely impacts access to these scanners in developing regions. In an effort to...
master thesis 2021
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de Smalen, Teun (author)
MRI is an non-invasive imaging technique used by many physicians to diagnose and treat diseases. The technique however is still very expensive and thus out of reach for developing countries. This has led to the goal to design a low-cost MRI system. The challenges that arise from this system make it necessary to design coils in a different way...
master thesis 2021
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Pereboom, Leonie (author)
The aim of this research is to build a machine learning model in order to predict the success of invasive surgical treatment on a degenerated cervical spine, based on the baseline X-ray images. The purpose of the results of this research is an application in computer-aided diagnostics and treatment planning in the field of neurosurgery. Spinal...
master thesis 2021
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Bhatnagar, Prernna (author)
Magnetic Resonance Imaging is a popular modality for brain imaging in present times. The quality of the images depends on the strength of the magnetic field. An MRI scanner with a magnetic field strength of 3 Tesla(T) is pre-dominantly used for clinical purposes. However, with the advancement in technology, and the need to image finer image...
master thesis 2020
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Dhingra, Kriti (author)
Magnetic Resonance Imaging is a painless procedure to produce high-resolution diagnostic images. Today, it is one of the essential clinical imaging modalities. One of the major challenges involved with this imaging modality is its long scanning time. Parallel imaging in combination with compressed sensing has overcome this challenge to a great...
master thesis 2020
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Sonnya Dellarosa, Sonnya (author)
Breast cancer, as one of the main causes of cancer death in the world, requires early detection to increase rate of survival. One idea is to develop a device that women could use at home to perform a regular self-check. Ultrasound is a safe, radiation-free technology that could be used for this device. Ultrasound systems (B-mode) that are...
master thesis 2020
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Monreal Madrigal, Alejandro (author)
Magnetic Resonance Imaging is one of the most widely used imaging modalities nowadays and it performs especially well imaging human organs such as the brain and liver. One of its main limitations is the relatively long imaging times, to overcome this issue and speed up the data acquisition, several techniques such as Parallel Imaging or PI have...
master thesis 2020
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Macarulla Rodriguez, M. (author)
Low-field Magnetic Resonance Imaging (LF MRI) is a cheap and safe technique to visualise the internal structure of the human body. Unlike other imaging techniques, Magnetic Resonance Imaging does not use ionising radiation to generate the images. Instead, it uses magnetic fields and radio waves which are nonthreatening to the health. The LF MRI...
master thesis 2020
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