Projects
System design and image reconstruction for unconventional geometry PET scanner. KU Leuven
Nowadays, tomographic imaging is one of the mast fundamental tools to early and accurate diagnosis and evaluation of the therapy effectiveness of an important numbers of diseases, such as cardiac or oncological. In this thesis project, the development of effective reconstruction algorithms will be explored, in order to obtain high quality and accurate images in a reasonable period of time (seconds). Although this thesis project objective is ...
Image Reconstruction and Analysis for Positron Emission Tomography in Oncology KU Leuven
PET image reconstruction with energy based scatter correction KU Leuven
In positron emission tomography (PET) imaging, photon pairs, emitted back-to-back by the tracer in the body of the patient, are acquired. From these detected photon pairs, a quantitative image of the tracer concentration is reconstructed. Unfortunately, if a photon undergoes a Compton interaction with an electron in the body of the patient, the photon is scattered into a different direction. In this situation, the photon pair provides ...
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 ...
Advanced quantitative tomographic image reconstruction Ghent University
The goal of this project is to develop advanced techniques for quantitative microwave tomography. We aim at improving the quality of 3D microwave imaging by combining our complementary expertise: competencies in electromagnetic forward modeling and inverse microwave techniques (INTEC), expertise in numerical aspects of non-linear inverse problems (ETRO/IRIS) and expertise in statistical modeling and processing of digital images (TELIN/IPI). ...
Advanced quantitative tomographic image reconstruction Ghent University
The goal of this project is to develop advanced techniques for quantitative microwave tomography. We aim at improving the quality of 3D microwave imaging by combining our complementary expertise: competencies in electromagnetic forward modeling and inverse microwave techniques (INTEC), expertise in numerical aspects of non-linear inverse problems (ETRO/IRIS) and expertise in statistical modeling and processing of digital images (TELIN/IPI). ...