Medical Imaging (PET and SPECT)
Our objective is to develop advanced biomedical imaging instrumentation and quantitative image reconstruction techniques, modeling/simulation tools for Positron Emission Tomography (PET) and Single-Photon Emission Computed Tomography (SPECT) and hybrid imaging modalities (SPECT/CT, PET/CT and PET/MRI), as well as the assessment of new possible designs of PET detection modules. We are particularly interested in improving the quality and quantitative accuracy of nuclear medicine images, and statistical analysis of different reconstruction algorithms and attenuation and scatter correction techniques. A strong interest is arising in the field of neuroimaging and oncology to stimulate the active research in the field in the Geneva region. Within this direction, we are particularly interested in developing novel deep learning-based approaches for medical image analysis, clinical diagnosis, prognosis and outcome prediction. More recently, we were involved in a new project aiming to design of dedicated high-resolution PET scanners for prostate cancer imaging in collaboration with CERN.