Projects
Algorithms for anatomy-guided image reconstruction in nuclear medicine tomography. KU Leuven
A new methodology for the design of application-tuned image reconstruction and restoration algorithms. Ghent University
Digital imaging systems are ubiquitous and impact many fields of research and industry, from (biomedical) electron microscopy to radio astronomy. Nearly all systems use some form of digital image restoration or reconstruction algorithm (DRA) to either improve image quality or as an essential part of their operation. The large impact of DRAs has enabled new applications, such as light field cameras, heterogeneous sensor devices, microwave ...
Reconstruction of medical tomographic images with sparsity priors Ghent University
The aim of the project is to develop novel techniques for reconstructing medical image from projection data. We will concentrate on methods beased on the concept of statistical modeling with sparsity priors. We will apply the methods on microwave tomography and CT imagery.
Belgium 1933 - 1945: A multi-medial image construction in the Third Reich Ghent University
This project aims to analyse the image construction of Belgium (resp. Flanders and Wallonia) in Nazi Germany. Starting from the assumption that Nazi propaganda institutions used different media in a complementary way, i.e. with different functions and goals, the study will draw on a representative corpus of diverse media (newspapers, periodicals, books and films).
Model-based image computing for multi-X medical image data. KU Leuven
Efficient 3D reconstruction using mobile devices KU Leuven
Optimal experimental design for quantitative super resolution reconstruction MRI. University of Antwerp
3D reconstruction of an environment using mobile devices KU Leuven
Mobile devices such as smartphones and tablets are becoming increasingly powerful and are often equipped with multiple cameras allowing to sense their environment. However, creating a precise 3D reconstruction using such mobile devices in real-life situations is still very challenging. The aim of this project is to create a dense 3D reconstruction of the environment using the sensors available on mobile devices. Our focus will be on the use ...