Projects
Spherical deconvolution of high-dimensional diffusion MRI for improved microstructural imaging of the brain. University of Antwerp
Towards robust disability prediction in multiple sclerosis from brain MRI. University of Antwerp
Prospective validation of electroencephalography-correlated functional MRI (EEG-MRI) in the presurgical work-up for epilepsy surgery. KU Leuven
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 ...
UNIPHY: A UNIfied PHYsics-informed framework for direct, distortion-free diffusion MRI parameter mapping. University of Antwerp
Optimized workflow for in vivo small animal diffusion weighted MRI studies of white matter diseases: from acquisition to quantification. University of Antwerp
Resolution improvement of diffusion MRI images through model based and numeric-symbolic reconstruction. University of Antwerp
SUBJECT-SPECIFIC GRAPH MEASURES BASED ON RESTING-STATE FUNCTIONAL MRI AS POTENTIAL BIOMARKERS FOR ALZHEIMER’S DISEASE KU Leuven
The brain is one of the most complex systems. To understand the brain we have to understand how the brain works, in terms of how remote/non-remote brain regions effectively interact and how brain regions are organized to process information. Therefore, it is important to understand the brain as a network. To quantify the performance of brain networks, graph theory is a very suitable method. It has been proposed that graph measures of ...
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 ...