Contribution to a book

Analyzing the structure of astrocytes, their specific morphological features, and their remodeling is important for understanding how this cell type fulfils its many functions. This is because cell shape determines the propagation of intracellular signals and their subcellular compartmentalization. [...]

Neurodegenerative diseases involve many different (sub)cellular pathologic processes like mitochondria damage, which are still incompletely understood and present future targets for therapy development. Live imaging microscopy of dynamic pathologic changes at single cell resolution might advance studies of pathomechanisms and biomarkers. [...]

Better understanding of how the brain cleans itself is of high importance as its failure has been linked to various neurodegenerative diseases. A first step towards elucidating CSF-mediated clearance mechanisms is the measurement of CSF motion in the human brain. [...]

Parallel transmission universal pulses (UPs) consist of pre-optimized RF pulse solutions mitigating the RF field inhomogeneity problem for a given RF coil. Optimized offline on a database of representative field maps, they are designed to be robust to intersubject variability and spare the user a cumbersome online calibration. [...]

In this work we present a simple set-up for high resolution postmortem imaging at ultra high field strength. The processed images have high, as well as homogeneous gray/white matter contrast over the whole brain. [...]

For MRI with a multi-receiver RF coil, one image per coil element and per time frame is obtained. The final image is typically calculated from the root sum of squares (rSoS) combination across channels. [...]

Deep learning methods are typically trained in a supervised with annotated data for analysing medical images with the motivation of detecting pathologies. In the absence of manually annotated training data, unsupervised anomaly detection can be one of the possible solutions. [...]