Projects
Comprehensive phenotyping of neuro-organoids by deep learning. University of Antwerp
The development of an anthropomorphic phantom for the validation of dark field lung imaging KU Leuven
Lung imaging is the most promising application of dark field phase contrast imaging. In practice, however, there is not yet system available for routine use in a hospital. Most tests are performed at large synchrotron facilities. A lot of investigations are into the design of systems for a (normal size) hospital. The company Agfa will install a new type of system in our hospital. It will be investigated whether the system offers any benefit ...
ORGanic UPconversion device for SWIR imaging (ORGUP) Hasselt University
4D Imaging for Mechanobiology KU Leuven
Mechanical forces are critical in shaping a variety of biological processes, and have an important influence on our ability to maintain normal physiological function; the disregulation of these processes leads to degeneration and disease. The ability to recreate and visualize these phenomena in the laboratory is important to understand the basic mechanisms involved, and to guide our strategies for engineering tissues for regenerative medicine ...
Modelling of the degenerative adaptation of the micro circulation and perfusion of the liver cirrhotic Ghent University
Cirrhosis is a detrimental condition of the liver, o.en attributed to an unhealthy lifestyle (e.g. alcohol abuse and fatty diet). It is characterized by severe distortion of the hepatic architecture, impairing the hepatic perfusion and function. Once cirrhosis reaches the decompensated stage, i.e. when complications become clinically present, it may culminate into liver insu.ciency or cancer. Cirrhosis is ranked the twel.h leading cause of ...
Genetic predictors of joint shape and cartilage mechanics Ghent University
Recent genome wide association studies have revealed that several osteoarthritis (OA) risk loci involve common genetic variations related to musculoskeletal development and morphogenesis. To date, a major shortcoming, is that morphometric phenotyping is based on 2D superposition imaging, resulting in high noise levels and limited applicability. In this interdisciplinary project, DNA will be collected from patients undergoing CT scanning for ...
IMARK. Network for image-based biomarker discovery and evaluation University of Antwerp
Dissecting tissue spatial organization using machine learning and spatial transcriptomics Ghent University
In this project, we aim to better functionally characterize different spatial contexts within tissues. To this end we will develop novel bioinformatics pipelines to process and integrate several “omics” and imaging data types. Novel machine learning methods will be explored that aim to combine the high spatial resolution of imaging techniques with the deep phenotyping capabilities of current scRNAseq methods.
Surface guidance for emerging radiotherapy technologies KU Leuven
Accurate positioning of the patient in the treatment position is of paramount importance for modern radiotherapy, where a highly conformal dose can be delivered to the target volume whilst sparing surrounding healthy tissue. Additionally, detection (and/or compensation) of patient motion during treatment delivery is increasingly required due to the prevalence of high-dose per fraction treatments such as SBRT resulting in a longer fraction ...