Brain Tumor Imaging

We are interested in using advanced MR imaging techniques to characterize glioblastoma multiformae.

We work on methods to help differentiate tumour from surrounding tissue. These activities are partially funded by the Canadian Cancer Society and occur in collaboration with Marc Lebel and others.

Representative Publications

• Eliaghi A, Yeung T, d’Esterre CD, Bauman G, Easaw J, Fainardi E, Lee TY, Frayne R. Quantitative perfusion and permeability biomarkers in brain cancer from tomographic CT and MR images. Biomarkers in Cancer 2016; 8(Suppl 2): 47-59.
• Bliesener Y, Lebel RM, Acharya J, Frayne R, Nayak KS. Pseudo Test-Retest Evaluation of Millimeter-Resolution Whole-Brain Dynamic Contrast-enhanced MRI in Patients with High-Grade Glioma. Radiology 2021; 300: 410-420. doi: 10.1148/radiol.2021203628.
• Zhu Z, Lebel RM, Bliesener Y, Acharya J, Frayne R, Nayak KS. Sparse precontrast T1 mapping for high-resolution whole-brain DCE-MRI. Magn Reson Med. 2021; 86: 2234-2249. doi: 10.1002/mrm.28849
• Loos WS, Souza R, Andersen LB, Lebel RM, Frayne R. Extraction of a Vascular Function for a Fully Automated Dynamic Contrast-Enhanced Magnetic Resonance Brain Image Processing Pipeline. Magn Reson Med 2022; 87: 1561-73. doi: 10.1002/mrm.29054.

Prospective Trainee Requirements

Interest in physiologic brain imaging or cancer with a degree (MSc preferred) in Biomedical, Computer or Electrical Engineering, Physics or Medical Sciences. A good grasp of digital signal processing and deconvolution techniques and/or experience with numerical optimization/modelling methods are beneficial. Must have good oral and written English communication skills.