Potential Supervisors

The following OMPI Members have openings for M.Sc. or Ph.D. students. Click on their names for details on their research interests. They are listed alphabetically.

For general information on the medical physics program, contact the OMPI Assistant Academic Officer.

 

Imaging

  • Avery Berman
    • Pulse sequence development for imaging neuronal and microvascular function with MRI
    • Biophysical modelling and image acquisition for measuring brain energetics with MRI
    • Biophysical modelling and image acquisition for measuring the composition and oxygenation of blood with MRI
  • Rob deKemp
    • Cardiac PET-CT blood flow quantification
    • Kinetic modeling for sympathetic innervation tracers
    • Cardiac PET-MR attenuation correction
    • Deep learning for diagnostic image interpretation
  • Paul Johns
    • x-ray scatter imaging (MSc project)
    • x-ray tube focal spot assessment (MSc project)
  • Ran Klein
    • Automatic image segmentation and lesion detection in PET/CT
    • Lesion synthesis in PET/CT for determining limits of detection by human and machine observers
    • Optimization of image display for perception of subtle lesions
    • Artificial Intelligence in Clinical Decision Making
  • Gerd Melkus
    • Development of quantitative Magnetic Resonance Imaging methods to characterize cartilage, bone and muscle
    • Magnetic resonance based attenuation and motion correction for pelvis/hip Positron Emission Tomography (PET-MRI)
  • Sangeeta Murugkar
    • Development of biofluid Raman spectroscopy and machine learning for early cancer screening
    • Development of micro-dosimetry system based on Raman micro-spectroscopy technique
    • Optical biopsy: developing rapid non-invasive imaging detection of skin cancer margins using ultrafast laser pulses
  • Pat Saull
    • Stand-off radiation detection and localization in the environment using Compton gamma imaging
    • Monte Carlo simulation of detector response for gamma imaging and beta dosimetry
    • Development of radiation detectors based on silicon photomultipliers
  • Laurel Sinclair
    • Field trials of novel fieldable 4\pi Compton imagers
    • Machine learning algorithms for aerial and ground-based robot-mounted direction-capable gamma spectrometer
    • Pulse processing in mixed gamma and neutron fields
  • Glenn Wells
    • Cardiac pinhole SPECT - image reconstruction and performance assessment
    • Dynamic SPECT/CT imaging for measuring absolute blood flow in the heart
  • Tong Xu
    • Motion correction for PET-MR

Therapy

  • Raphael Galea
    • Development of a gas counter for radionuclide metrology
  • Emily Heath and Tong Xu
    • Motion-adaptive radiation therapy
  • Emily Heath
    • Modeling the effects of anatomical changes in radiation therapy
    • Monte Carlo simulation of radiation therapy
    • Adaptive radiation therapy
  • Malcolm McEwen
    • Experimental investigations of dosimetry, primary and secondary standards
    • Using Monte Carlo techniques to examine detector response
    • Determination of key radiation interaction parameters
  • Bryan Muir
    • Development of absorbed-dose standards for photon and electron beam dosimetry.  Application of absorbed-dose standards in clinical practice. 
    • Investigations on the performance and calibration of linear accelerators. 
    • Experimental measurements and Monte Carlo simulations with secondary dosimeters in external beams, including small and non-standard beams.
  • Rowan Thomson 
    • Dosimetry and radiobiological modelling for radiotherapy
    • Simulations of low energy electron transport in biological media
    • Monte Carlo simulations for radiation interactions and energy deposition on cellular and subcellular scales: multiscale modelling
    • Machine learning approaches for connecting simulation and experimental results for biological response to radiation
  • Reid Townson
    • Advances to the physics of radionuclide decay modelling in the EGSnrc Monte Carlo toolkit
    • Monte Carlo modelling and optimization of the Sterigenics medical product sterilization process (MSc, industry-linked)
    • Monte Carlo investigation of the new ZAP-X radiosurgical system (MSc)
    • Improvements to EGSnrc
       

Radiation Biology

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