Projects
Integration of imaging techniques for the quantitative characterization of pesticide sprays Research Institute for Agriculture, Fisheries and Food
In this study, ILVO develops high speed digital imaging and image processing techniques for the characterization of pesticide sprays. These techniques can quantify the spray application process in a non-intrusive way. Existing techniques are not able to fully characterize the spray application process. Spray characteristics have an important effect on the efficacy of plant protection ...
The language connectome: insights from advanced structural and functional imaging techniques KU Leuven
One of the most intriguing aspects of human kind is our unique capacity for rapidly acquiring speech and language in the early years of life. However, disorders in speech and language are among the most common developmental problems in childhood. They can restrict the child from social participation and academic achievement and may lead to a permanent dysfunction. Equally, children’s intellectual and linguistic or communicative skills play an ...
Echocardiography-based imaging techniques for guidance of minimally-invasive intracardiac procedures in horses Ghent University
In horses, cardiac diseases are frequently occurring and arrhythmias are an important cause of sudden death, which has a major impact on rider safety. In human and small animal medicine, diagnosis and treatment of cardiac disease often involve minimally-invasive techniques that use precisely placed catheters in the heart. In order to ensure success and safety, accurate visualization of these catheters is essential. This is problematic in ...
Design and optimization of breast imaging techniques using virtual clinical trials and artificial intelligence KU Leuven
State-of-the-art breast imaging contributes to early detection and therefore improves patients’ prognosis. Virtual clinical trials are a powerful tool for both the validation and the optimization of new breast imaging techniques. Therefore, it is important to keep pushing and exploring the capabilities of virtual clinical trial techniques, and expand them with new applications. The research will be mainly focused on incorporating synthetic ...
Dose-efficient fusion of imaging and analytical techniques in scanning transmission electron microscopy. University of Antwerp
Neurocognition-sparing radiotherapy of brain and base of skull tumours: modelling toxicity and probing dose-dependent alterations in the brain using advanced imaging techniques. KU Leuven
Radiotherapy (RT) plays a crucial role in the treatment of many primary brain and skull base tumours, including meningioma and low-grade glioma. Due to the nature of the tumours, and the increasing effectiveness of the treatment, long-term survival can be achieved in an increasing number of patients, making side effects an important issue in the follow-up and social reintegration of these patients. Post-RT neurocognitive decline is one of the ...
Advanced brain imaging in radiation-induced changes after novel radiotherapy techniques KU Leuven
Radiotherapy is pivotal in treating primary and metastatic brain tumors. While new techniques like PBT decrease radiation to surrounding healthy brain tissue, they introduce challenges in interpreting post-treatment imaging. The overarching goal is to optimize clinical outcomes and reduce potential harms from these therapies, which, although advanced, present new challenges. Proton therapy provides some physical advantages over photon ...
Electron and X-ray microscopy Community for structural and chemical Imaging Techniques for Earth materials Ghent University
Understanding earth materials is critical to creating a sustainable, carbon-neutral society due to their involvement in many vital processes. Earth materials control the feasibility of subsurface energy storage, geothermal energy extraction, and are a source of critical elements for future-proof battery technologies. However, perturbations to geological systems can also result in hazards, such as human-induced earthquakes. If we want to ...
An exploratory study of machine learning techniques for imaging flow cytometry Ghent University
This project aims to analyse imaging flow cytometry data with advanced computational techniques. Imaging flow cytometry is a novel technology which allows making photographs of millions of individual cells in a high-throughput fashion, capturing their size and shape as well as information about protein expression. These measurements can be used to study and understand complex biological systems, such as the immune system, made up of dozens of ...