Trainee success at 2017 ImNO Symposium

Robarts trainees took home top prizes at the Imaging Network Ontario (ImNO) 2017 Symposium earlier this month.

The ImNO promotes Canada’s role as a leader in medical imaging innovation. Its annual two-day Symposium encourages discussions regarding new imaging programs and careers in medical imaging, and serves as a forum where participants can share marketing and management expertise. This year’s event was held in London, Ontario.

Congratulations to the following trainees:

Oral Presentation Awards

First Place
Dante Capaldi, PhD Candidate
Department of Medical Biophysics, Robarts Research Institute
Asthma Ventilation Abnormalities Measured using Fourier-Decomposition Free-breathing Pulmonary Proton MRI
Supervisor: Grace Parraga, PhD
Second Place

Jason Kai, MSc Candidate
Department of Medical Biophysis, Robarts Research Institute
Investigating the relationship of myelin and axonal white matter microstructure using longitudinal relaxation mapping and restricted diffusion
Supervisor: Ali Khan, PhD
Third Place

Daniel Gelman, PhD Candidate
Biomedical Engineering, Robarts Research Institute
Robotic Catheter Contact-Force Control for Cardiac Ablation Therapy: In Vivo Evaluation
Supervisor: Maria Drangova, PhD
Honourable Mentions

Heeseung Lim, PhD Candidate
Department of Medical Biophysics, Robarts Research Institute
Longitudinal Monitoring of Tumour pH Gradient with MRI
Supervisor: Tim Scholl, PhD

Fiona Li, MSc Candidate
Department of Medical Biophysics, Robarts Research Institute
Preliminary study for personalization of renally excreted cancer drugs using pulse dye densitometry
Supervisor: Ting-Yim Lee, PhD

Poster Presentation Awards

Third Place

Justin Laing, MESc Candidate
Engineering, Robarts Research Institute
Patient Specific Atria Models for Training and Pre-Procedure Surgical Planning        
Supervisor: Aaron Fenster, PhD
Honourable Mentions

Dickson Wong, PhD Candidate
Department of Medical Biophysics, Robarts Research Institute
Improved Glutamate Detection in the Brain at 7 Tesla Using Long Echo-Time Proton Magnetic Resonance Spectroscopy    
Supervisor: Rob Bartha, PhD