2021 Award Winners
Oral Awards 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 Award Winners
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