DrGeorgios Angelis

Senior Research Fellow

Faculty of Engineering

  • Senior Research Fellow
    Faculty of Engineering

Research projects & supervision summary

Dr Angelis leads and contributes to a portfolio of imaging research projects that integrate methodological innovation with clinically meaningful applications. Current work includes:

 

  • Dynamic FDG PET for immunotherapy response assessment, examining whether Patlak kinetic modelling can differentiate malignant uptake from immune-related metabolic activity.
  • Heat-stress physiology with Total Body PET, quantifying FDG-derived blood flow and metabolic changes across cardiovascular, renal, splanchnic, and metabolic systems before and after heat acclimation.
  • Ultra-low-dose CT protocol optimisation, assessing quantitative PET accuracy, image quality, and lesion detectability when attenuation correction is performed with ultra-low-dose vs standard CT.
  • Dual-isotope PET protocols, including same-day 68Ga-DOTATATE/18F-FDG imaging and investigations of low-count image performance.
  • AIF prediction from late-time PET data, using parametric AIF models jointly reconstructed with measured TACs to reduce the need for early dynamic data.
  • National PET harmonisation initiatives, including the development of preclinical PET standardisation procedures inspired by EARL guidelines.

RESEARCH PROJECTS & ACTIVITIES

  • PROJECT
    The feasibility and acceptability of pragmatic, individualised, high intensity aerobic exercise in people with Parkinson's disease.
    Neuroscience Research AustraliaBrain and Mind Centre (The)1 Mar 2024
    Project leaders:
    Collaborators:
    This is a single group mixed methods pilot study. The primary aim is to examine the feasibility and acceptability of pragmatic, individualised, high intensity aerobic exercise in people with Parkinson's disease. Secondary aims are to examine effects of high intensity aerobic exercise on clinical, physiological, and neuroimaging outcomes, including any potential disease-modifying effects.
  • RESEARCH-BASED DEGREE SUPERVISION
    Computational methods for parametric modelling in dynamic Total-Body PET imaging.
  • RESEARCH-BASED DEGREE SUPERVISION
    Quantitative Methods For Detection of Transient Changes in Endogenous Dopamine For Preclinical PET Studies