Searched for: mods_note_programme_s%3A%22Biomedical%255C+Engineering%255C+%257C%255C+Medical%255C+Physics%22
(1 - 20 of 24)

Pages

document
de Boer, Mitchell (author)
Flow visualization is an important topic in many scientific domains and has been an active field of research for many years. Many different methods of analysis can be used in order to analyze flow, however recently big progress have been reported on the manifold learning algorithms for high-dimensional data. This thesis investigates the use of...
master thesis 2024
document
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
document
Kuitems, Iris (author)
This thesis outlines the project conducted at HollandPTC for the Master Biomedical Engineering, track Medical Physics, at Delft University of Technology. <br/><br/>Metal implants create dosimetric uncertainties in treatment planning and delivery for proton therapy. The purpose of this thesis was to determine the most suitable treatment planning...
master thesis 2023
document
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
document
Gielen, Bente (author)
master thesis 2023
document
Goedhart, Aisha (author)
Primary liver cancer is a commonly diagnosed cancer and accurate diagnosis is crucial for treatment planning. To differentiate between malignant and benign liver tumors, contrast-enhanced MRI is typically used as it provides information over multiple contrast phases. However, diagnosis based on MRI is challenging. In this study, automatic...
master thesis 2023
document
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
document
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
document
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
document
Weststrate, Thomas (author)
Purpose: Pre- and post-treatment MRI based Diffusion Weighted Imaging (DWI) has shown to be an effective predictor and indicator of treatment response in cancer. However, clinical applications of the Apparent Diffusion Coefficient (ADC) requires sufficient precision; this can be assessed with repeatability studies. Therefore, the purpose of this...
master thesis 2022
document
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
document
Heřmanová, Kristyna (author)
One of the principal signs of disease progression in brain tumor patients is an increase in tumor size between time-separated medical image acquisitions. The current diagnosis of tumor progression is based on visual appraisal or manual measurement of largest diameters, neither of which is a fully quantitative measure. The RANO criteria dictate...
master thesis 2022
document
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
document
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
document
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
document
Lusse, Bryan (author)
Long acquisition times impede the routine clinical use of quantitative magnetic resonance imaging (qMRI). qMRI quantifies meaningful tissue parameters in T1-, T2-, and PD-maps, as opposed to conventional (qualitative) weighted MRI (wMRI), which only visualises contrast between tissues. Although methods exist that generate synthetic wMRI from...
master thesis 2021
document
Guichelaar, Jamila (author)
Introduction: Radiation is an effective treatment to increase overall mean survival of patients with metastatic brain tumours, however, damage to healthy tissue is inevitable. Radiation can cause dysfunction of the cerebrovasculature which is hypothesised to induce cognitive decline in patients after radiotherapy (RT). A new method, the...
master thesis 2021
document
ter Wee, Annemiek (author)
Background/purpose: The mapping of microvasculature requires a high­resolution imaging method. Super­resolution ultrasound­imaging can provide such high resolution by detecting individual microbub­ bles (MBs) in a flow circuit. This method relies on the dynamic appearance of MBs, which appear as point scatterers on the US image, mixed with...
master thesis 2021
document
van Doorn, Marleen (author)
Proton radiotherapy has a dosimetric advantage over photon therapy to spare healthy tissue closely positioned to the tumor mainly due to the absent exit dose. In The Netherlands, the Proton therapy centers currently take a relative biological effectiveness (RBE) of 1.1 compared to photons to deliver an iso-effective treatment. However, initial...
master thesis 2020
document
Mukherjee, Anish (author)
The time taken to generate a super-resolution image and the quality of the final synthetic image depends on the performance of the localization algorithm which is used in the localization microscopy pipeline. The most precise and accurate algorithms are mostly iterative and they take a long time to generate the localization list while the faster...
master thesis 2020
Searched for: mods_note_programme_s%3A%22Biomedical%255C+Engineering%255C+%257C%255C+Medical%255C+Physics%22
(1 - 20 of 24)

Pages