2021 Award Winners

Oral Session 1 – Image-Guided Devices

Jessica R Rodgers, Robarts Research Institute
Feasibility of fusing three-dimensional transabdominal and transrectal ultrasound images to visualize intracavitary gynaecological brachytherapy applicators

Oral Session 2 – Lung & Cellular imaging

Peter Jeon, Western University
Progressive changes in glutamate concentration in early stages of schizophrenia – A longitudinal 7-Tesla MRS study

Oral Session 3 – Imaging for Musculoskeletal analysis

Sam Papernick, Western University
Reliability and concurrent validity of 3D ultrasound for quantifying knee cartilage volume

Oral Session 13 – Cancer Imaging

Shirley Liu, Robarts Research Institute
Molecular imaging reveals a high degree of cross-seeding of spontaneous metastases in a novel mouse model of synchronous bilateral breast cancer

Oral Session 14 – Deep Learning for Segmentation

Anush Agarwal, University of Guelph
Renal Boundary and Tumour Segmentation in Multiparametric MRI using U-Net with Transfer Learning

Oral Session 15 – Animal Model & Image processing

Jason Todd Bartlett, Ryerson University
Fractal Dimensions of Airway Surfaces from Computed Tomography in Chronic Obstructive Pulmonary Disease

Oral Session 19 – Covid-19 & Brain related injuries

Alicia Cronin, Western University
The Severity of Spinal Cord Compression is Associated with Functional Plasticity in Degenerative Cervical Myelopathy

Oral Session 20 – Molecular Imaging

Hanlin Liu, University of Toronto
Gadolinium-Free MRI Blood Pool Contrast Agents: Manganese(III) Porphyrins With Tunable Human Serum Albumin Binding Affinity

Oral Session 21 – Machine learning II

Nathan Orlando, Robarts Research Institute
Effect of dataset size and acquisition type on deep learning segmentation of the prostate in 3D ultrasound

Oral Session 25 – Machine Learning IV

Michal Kazmierski, University of Toronto
Radiomics for head and neck cancer prognostication: results from the RADCURE machine learning challenge

Oral Session 26 – MRI contrast & devices

TianDuo Wang, Western University
An activatable reporter gene system to visualize cell-cell communication in cancer immunotherapies

Oral Session 27 – Neuro Imaging

Kevin J Chung, Western University
Measuring Ischemic Volumes using Quantitative Multiphase CT Angiography Perfusion Maps

Pitch Session 4 – Image Guided Surgery

Laura P Connolly, Queen’s University
A platform for robot-assisted intraoperative imaging in breast conserving surgery

Pitch Session 5 – Device, hardware, system development I

Claire K Park, Western University
Toward high-resolution PEM and US-guided core-needle biopsy

Pitch Session 6 – Machine Learning for Cancer Applications

Tricia Chinnery, Western University
A CT-based radiomics model for predicting gastrostomy tube insertion in oropharyngeal cancer

Pitch Session 7 – Image Processing

Santiago F Cobos, Western University
Cost-effective micro-CT imaging of medical components fabricated with additive manufacturing

Pitch Session 8 – Device, hardware, system development II

Sarah Aubert, Ryerson University
Theoretical Comparison of Energy-Resolved and Digital-Subtraction Angiography

Pitch Session 9 – Contrast Agents I

Terenz R Escartin, Sunnybrook Research Institute
Characterizing the chronic evolution of ablation lesion and edema using native T1 and 3D late gadolinium enhancement (LGE) after radiofrequency ablation therapy (RFA) in a swine model of ischemic VT

Pitch Session 10 – Musculoskeletal Imaging

Dana N Broberg, Western University
Effect of vitamin D and memantine supplementation on body composition in the APP/PS1 mouse model of Alzheimer’s disease following chronic vitamin D deficiency

Pitch Session 11 – Deep learning

Miriam Hewlett, Western University
Deep Learning for Motion Correction using Multichannel MRI Data

Pitch Session 12 – Contrast Agents II

Tuneesh K Ranota, Western University
The Feasibility of Hyperpolarized 129Xe MRI for lung damage in COVID-19 Survivors using a Key-Hole Method.

Pitch Session 16 – Machine Learning I

Andrea Perera-Ortega, Queen’s University
Machine Learning to Detect Brain Lesions in Focal Epilepsy

Pitch Session 17 – Neuro Imaging

Ramina Adam, Western University
Brain network connectivity and neurodevelopmental outcomes in children with infantile hydrocephalus

Pitch Session 18 – Computation Modeling

Bradley G Karat, Western University
Correlating Macro and Microstructure in the Hippocampus

Pitch Session 22 – Machine Learning III

Alice ML Santilli, Queen’s University
Domain Adaptation and Self-Supervised Learning for Surgical Margin Detection

Pitch Session 23 – MRI imaging

Moses P Cook, University of Toronto
Diffusion Tensor MRI Reveals Myocardial Fibre Architecture after Cell-Based Therapy in Myocardial Infarction

Pitch Session 24 – Cancer Imaging

Liam SP Lawrence, University of Toronto
Comparison of ADC measurements from the MR-Linac and a diagnostic scanner in brain tumour patients