We characterize the cortical layers by biomechanical modeling and simulation of the developed human cortex tissue in-vivo using hyperelastic material models.
In this project, we studied cortical myelin in living humans at the spatial scale of cortical columns using high-resolution quantitative magnetic resonance imaging (MRI) methods at 7 T.
We explore spatially resolved lipid imaging using matrix-assisted laser desorption/ionization (MALDI) as a method for validating MRI-based myelin biomarkers.
We investigate the relationship between quantitative MRI (qMRI) at different cortical depths and cell counts, gene expression and white matter connections in the brain in order to provide novel biomarkers for tracking neurodegenerative diseases.
Robust U-fibre connectivity mapping can be achieved in vivo in the early visual processing stream using combined diffusion weighted imaging and functional retinotopy
In this project, we investigate the brains of wild chimpanzees who died of natural causes at different developmental stages using high-resolution quantitative MRI and histology.
Using a field strength of 7 Tesla, the "Arterial Blood Contrast" (ABC), which is based on the Magnetization Transfer effect, could be measured with an isotropic spatial resolution of 1.5 mm in combination with a conventional functional MRI contrast.
DeepcomplexMRI deep learnig reconstruction has been modified to process multi-echo MRI images. First results for different undersampling strategies suggest that performance is comparable to modern iterative algorithms like ENLIVE while taking only about 5 minutes to reconstruct a full 3D 1mm³/voxel resolved head image stack.
In this project, we study the resolution limits of different high-resolution functional magnetic resonance imaging (fMRI) methods to resolve differences within the cerebral cortex.
