Bio-physical modelling

The various quantitative MRI parameters are sensitive to different aspects of tissue microstructure and chemical environments inside the brain, such as to myelin or iron content. Using established knowledge and novel discoveries on biophysical processes that underly the MR signal, we develop models to make direct inferences on microstructure based on MRI data. For example, we develop biophysical models to quantify iron in superficial white matter and the substantia nigra and to assess the mesoscopic organization of the cortex with diffusion imaging. Such models also provide a deeper understanding of cortical layering from measured MRI data.

<span>Diffusion properties in cortical grey matter using inversion recovery diffusion weighted imaging</span>

Combined diffusion and T1 contrast can be used to explore the cortical grey matter structural complexity in the human brain in vivo. more

A Biophysical Model of Iron-Induced Transverse MRI Relaxation in Nigrosome 1: Toward an Early Biomarker of Parkinson's Disease

We linked the effective transverse relaxation rate R2* with dopaminergic cell densities and iron concentrations in nigrosome 1 by combining 3D quantitative iron histology, post mortem ultra-high resolution MRI, tissue deironing, and analytical modeling approaches. more

Biomechanical Modeling of Cortical Layers

We characterize the cortical layers by biomechanical modeling and simulation of the developed human cortex tissue in-vivo using hyperelastic material models. more

Quantification of transverse relaxation times of human cortical and subcortical structures in vivo at 7T

Transverse relaxation parameters are quantified in vivo for different cortical structures of the human brain at ultra-high field strength. more

<span> <span>Human Microstructural Connectomics</span></span>

We study the microanatomical properties of human white matter tracts with high-resolution light and electron microscopy with the goal to better interpret magnetic resonance imaging-based biophysical models of white matter properties. more

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