Projects
Accounting for Complex Structure in Diffusion Weighted Imaging Data using Volume Fraction Representations KU Leuven
The domain of diffusion weighted imaging (DWI) has come a long way since its initial development in the mid-1980s. Over the years, we have gained a better understanding of the accompanying techniques and necessary processing steps involved, furthermore leading to a wealth of new insights in the complex workings of the (human) brain. The introduction of diffusion tensor imaging (DTI) has played a crucial role in thisprocess, as it provided ...
Generalised spherical deconvolution of diffusion MRI data for improved microstructural specificity and higher resolution imaging of white matter. University of Antwerp
UNIPHY: A UNIfied PHYsics-informed framework for direct, distortion-free diffusion MRI parameter mapping. University of Antwerp
Diffusion- and perfusion-weighted MRI in chest diseases KU Leuven
The overall aim of the thesis was to develop a conceptual approach for characterisation of thoracic lesions, by using dynamic contrast (DCE) MRI and diffusion-weighted magnetic resonance imaging (DWI), to diagnose and differentiate (benign versus malignancy) pleural, lung- and mediastinal lesions. For DCE MRI, a semi-quantitative method was used and for DWI, quantitative and visual methods were used.
Initially, a feasibility study was ...
Whole-body diffusion-weighted MRI in malignant lymphoma: staging and early treatment response assessment KU Leuven
Malignant lymphoma is the 5th most common tumor type, comprising a large group of cancers with distinct histopathological features, which translates into different treatment plans and prognosis. Two main categories can be identified, Hodgkin (HL) and non-Hodgkin lymphoma (NHL), the latter of which can be subdivided in aggressive and indolent lymphoma based on the clinical behavior. The lymphatic system is a circulatory system throughout the ...
Tensor Based Approaches in Magnetic Resonance Spectroscopic Imaging and Multi-parametric MRI Data Analysis KU Leuven
Accurate characterisation and localization of pathologic tissue types play a key role in diagnosis and treatment planning of brain tumors. Neuroimaging techniques such as magnetic resonance imaging (MRI), magnetic resonance spectroscopic imaging (MRSI), perfusion-weighted imaging (PWI) and diffusion weighted imaging (DWI) are being used to characterize brain tumors and detect full tumor extent. Analysing these data is both time consuming and ...