Projects
Data-driven microstructure imaging with multi-dimensional diffusion MRI in early brain development KU Leuven
Understanding how human brain structure develops and grows before and around the time of birth is a grand challenge in neuroscience, with far reaching implications for our understanding of neuropsychiatric disorders. Diffusion MRI (dMRI) and other quantitative MRI relaxometry modalities offer a unique means to characterize neural tissue microstructure in vivo. However, analysis of multi-dimensional dMRI in neonatal and foetal data brings ...
Spherical deconvolution of high-dimensional diffusion MRI for improved microstructural imaging of the brain. University of Antwerp
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
White matter characterization using diffusion MRI. University of Antwerp
Unraveling the pathways of radial turgor-driven water flow in wheat stems during carbohydrate mobilization by diffusion MRI and mechanistic modelling Ghent University
Despite being the largest crop in the world, wheat hydraulic functioning is still poorly understood. A new mechanistic model simulating water flow and storage in wheat revealed that the carbohydrate storage in the stem plays an important role for continuing water supply to the developing grain, especially during drought stress. Through modelling, it was discovered that turgor-driven radial flow, as it occurs in roots, is also important in ...
Resolution improvement of diffusion MRI images through model based and numeric-symbolic reconstruction. University of Antwerp
Evaluation of a recent developed in vivo MRI technique - Diffusion Kurtosis representation - by means of transgene rat models for polyglutamine disorders. 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 ...