Projects
Medical imaging KU Leuven
The valorisation domain targeted by this IOF program is medical imaging, a broad field that involves different imaging technologies such as RX, CT, MRI, PET/SPECT, US and optical imaging. Imaging research within KU Leuven is scattered over different groups that are clustered in a large consortium, situated at the Medical Imaging Research Centre (MIRC). Core members are ESAT/PSI, Radiology, Nuclear Medicine, Cardiology and Radiotherapy, but ...
Innovative Medical Imaging for Neurological Disorders (iMIND). University of Antwerp
Color Imaging & Multidimensional Image processing in medical applications Ghent University
Unfortunately the medical imaging community today is not optimally making use of colour and multi-dimensional information.
This research project will significantly improve this situation. The basic technology that will be developed in this project covers the entire imaging chain starting with acquisition device over image processing to visualization and finally (clinical) validation and standards.
At iMinds side all ...
CIMI - Color Imaging & Multidimensional Image processing in medical applications. University of Antwerp
Uniqueness of human tooth morphology in medical imaging for human dental identification purpose KU Leuven
Human dental identification (HDI) is based on the comparison of post-mortem (PM) and ante-mortem (AM) collected odontological evidences. The quality and quantity of these evidences play an essential role in providing a positive identification. In open identification cases positive dentalidentification is established under the assumption that the human dentition is unique for each individual.
In forensic identification practice an ...
Interactive learning in medical imaging AI: exploiting domain knowledge provided by on-line user feedback KU Leuven
Deep learning for automated delineation and quantification in medical image analysis is complicated by the fact that expert annotated data are scarce, ground truth delineations are subject to observer variability and validation in the clinical setting is needed to get insight in the clinical requirements. Instead of striving for fully automated solutions, keeping the expert clinical user in the loop allows to interactively collect ...
Medical imaging using bio-inspired and soft computing (MIBISOC) Ghent University
The general objective is to train the early-stage researchers in soft computing and bio-inspired computing techniques, with research applications in medical imaging. Specifically for UGhent the focus is on noise reduction (to obtain more qualitative images while keeping important details for diagnosis) and similarity between medical images (for retrieval in large medical image databases, classification of images in such databases).
CIMI - Color Imaging & Multidimensional Image processing in medical applications. University of Antwerp
Light for life: high contrast multimodal medical imaging using inorganic fluorophores Ghent University
For many medical imaging techniques, radioactive sources are used as tracers. These tests are potentially harmful for the patient and personnel and require a lot of precautions. This project is aimed at developing an alternative and safer way of bio-imaging, based on luminescent nanoparticles. Lanthanide-doped inorganic nanoparticles which are both magnetic and luminescent will be developed. Using luminescent materials which can be excited in ...