George Kagadis’s group is established within the Laboratory of Medical Physics, University of Patras, Greece. The main research areas this group is working at are:

  1. Image processing and analysis: Imaging is a critical component in the detection, characterization and treatment of various illnesses. The rich information content of various advanced imaging approaches, along with the growing capacity of collecting images in different time points, gives the opportunity to process and analyze data that are of complementary value to the medical decision. We process collected information to produce knowledge of additional value to our clinicians. To this end, we are applying various Artificial Intelligence methodologies, incorporating Machine Learning, and – more recently – Deep Learning.
  2. Monte Carlo simulations: Monte Carlo techniques in Medical Physics, are mainly used to simulate a range of medical applications that exploit ionizing radiation, for imaging/therapy purposes or for dosimetric applications in the macro- and/or nano-scale. Our group uses such Monte Carlo techniques to simulate procedures, where ionizing radiation interact with biological matter and/or detectors (in SPECT-PET-CT), for the optimization of radiation therapy and imaging procedures. We use highly detailed anthropomorphic computational phantoms, as well as highly detailed computational animal phantoms, for clinical and pre-clinical studies. To this direction we use the GATE open-access simulations toolkit for Radiation Therapy and Brachytherapy procedures’ simulations, as well as QSPECT, STIR and CaSTOR for image processing and analysis simulations. Furthermore, we have recently started using Geant4-DNA to simulate the DNA Damage Response to ionizing radiation.