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