Projects
Advanced 2D and 3D chemical imaging using laser ablation ICP - mass spectrometry (LA-ICP-MS) and complementary multimodal techniques via image fusion Ghent University
Laser ablation-ICP-mass spectrometry (LA-ICP-MS) can be used for visualizing the distribution of (trace) elements across any solid material with high spatial resolution. The recent development of low-dispersion LA cells has provided gains in throughput and sensitivity of 2-3 orders of magnitude compared to conventional cells. The project focuses on development of methodologies for high-resolution 2D & 3D imaging of samples of a wide range ...
Novel image processing methods for assessing myocardial energetics from FDG-PET/CT and 4D anatomical imaging KU Leuven
The measurement of 18F-Fluorodeoxyglucose (FDG) uptake by positron emission tomography (PET) is a validated and robust way to investigate myocardial glucose metabolism. However, the use of PET imaging for cardiac applications is challenged by:
- the low spatial resolution of the clinical PET scanners, which results in blurring and does not
allow for accurate quantification of very thin or small structures (partial volume effect, ...
Dictionary Learning and Distributed Inference for the Processing of Large-scale Heterogeneous Image Data (DOLPHIN) Ghent University
Huge data sets are generated at increasing pace across various disciplines. It is becoming more and more common to acquire the information about the same phenomenon with a multitude of different sensors. For example, in medical diagnostics various imaging modalities are often combined (e.g., X-ray CT and magnetic resonance images) as well as totally different types of data (like one-dimensional electrocardiograms and four-dimensional ...
The neural fingerprint of human image processing KU Leuven
Our understanding of the human brain is hampered by the limitations
we face with respect to the research techniques we can apply.
Common non-invasive measurements of brain activity including
electroencephalography and functional Magnetic Resonance Imaging
(fMRI) provide only coarse information on ongoing neural activity
because of a restricted spatiotemporal resolution, whereas noninvasive
brain stimulation ...
Development of instrumentation and data processing algorithms to enhance the image quality of elemental nanoprobes for neuroimaging Ghent University
This fundamentally-oriented project proposal focuses on the development of instrumentation and
computational approaches to enhance the capabilities of imaging techniques capable of detecting
elements within brain samples, such as (i) laser ablation - inductively coupled plasma - mass
spectrometry (LA-ICP-MS), (ii) synchrotron resonant ptychography, and (iii) synchrotron nanoscale
X-ray fluorescence ...
Impact of vision loss on cellular processing in the visual cortex and its relation to multisensory processing and behavior KU Leuven
The loss of senses such as seeing and hearing is one of the major sources of disability and is associated with high economic costs. With an aging population, there is an acute need for low-cost and effective therapies to help patients cope with and to compensate for sensory losses, as well as for new devices that can restore function. Key to these developments is an understanding of the physiological changes that occur in the brain upon loss ...
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). ...
Data fusion for image analysis in remote sensing Ghent University
Progress in sensor technology has advanced the remote sensing domain, enabling access to a multitude of satellite and airborne data products, each with their own spatial and spectral resolutions, coverage and revisiting times. While each of these modalities provides valuable information by itself, their combination is likely to deliver even richer knowledge. In this project, the term “fusion” is used as the general term for combining ...