Sep 19, 2023

Temerty Centre Speaker Series: Dr. Mary-Louise Greer and Dr. Moti Freiman

Co-presenters Dr. Mary-Louise Greer and Dr. Moti Freiman will discuss the potential of Artificial Intelligence-based quantitative magnetic resonance imaging (MRI)

DATE: September 19, 2023 (Tues.)
TIME: 12pm to 1pm ET
NOTE: This event is CPD-accredited for physicians
PRESENTERS: Dr. Mary-Louise Greer and Dr. Moti Freiman

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AI-assisted MRI fusion models for characterization of inflammation, a T-CAIREM Technion Collaboration Catalyst Project

Inflammation is a manifestation of a number of conditions with a range of pathophysiologic and clinical presentations. As yet, reliable non-invasive imaging-based assessment of inflammation remains an unmet need.

In this talk, the co-presenters will discuss the potential of Artificial Intelligence-based quantitative magnetic resonance imaging (MRI) analysis to identify clinically relevant microstructural changes with clinical applications in pediatric Crohn’s disease and potentially trigeminal neuralgia. We will also provide an overview of the inaugural T-CAIREM Technion Collaboration Catalyst Workshop held in Ein Gedi, Israel in May 2023 aimed at promoting clinical AI research collaboration between these two institutions.


Dr. Mary-Louise Greer is a general paediatric radiologist on staff at the Hospital for Sick Children (SickKids) in Toronto since 2011 where she is Co-Section Head of Body MRI, and an Associate Professor in the Department of Medical Imaging at the University of Toronto. Australian-born and bred, Mary-Louise graduated from the University of Queensland Medical School in 1989. Training in radiology at Brisbane’s Princess Alexandra Hospital and pediatric radiology at SickKids, Dr. Greer was admitted as a Fellow of the Royal Australian and New Zealand College of Radiologists in 2000. Mary-Louise has served as Director of Radiology at the Royal Children's Hospital in Brisbane from 2003-2006 and President of the Australian and New Zealand Society for Paediatric Radiology in 2008-2009. Mary-Louise currently serves on the MRI Committee of the Society for Pediatric Radiology, the Pediatric Review Panel for RadioGraphics, and is Secretary of the Pediatric Study Group of the International Society for Magnetic Resonance in Medicine. She enjoys teaching and research, publishing over 70 peer-reviewed papers. Her interests include imaging in oncology and inflammatory bowel disease, application of advanced techniques in MRI and the evolving role of AI/ML, and the promotion of greater access to pediatric MRI  through non-sedation strategies and outreach activities. 
Affiliations: Staff Radiologist, Department of Diagnostic and Interventional Radiology, The Hospital for Sick Children; Project Investigator, Research Institute, The Hospital for Sick Children; Associate Professor, Department of Medical Imaging, University of Toronto

Dr. Moti Freiman is an assistant professor and the director of the Technion - Israel Institute of Technology's Computational MRI Lab (TCML) at the faculty of Biomedical Engineering of the Technion. He is also the academic director of the Technion’s human MRI research center. Previously, Dr. Freiman held various positions in academia and industry. He is the author and co-author of more than 40 journal and full-length conference papers and holds several patents and patent applications. Dr. Freiman is serving as a program committee member for the MICCAI and IEEE ISBI conferences. Dr. Freiman completed a post-doctoral fellowship at Harvard Medical School in Oct. 2012 and holds a PhD and MSc in Computer Science from the Hebrew University of Jerusalem, Israel (Dec. 2010, 2005, Magna cum laude), and a BSc (2003) in mathematics and computer science from Bar-Ilan university, Israel. Dr. Freiman is the recipient of the 2012 Crohn's and Colitis Foundation of America research fellow award and an honorable mention paper award of MICCAI 2012 conference.
Affiliations: Faculty of Biomedical Engineering, Technion – Israel Institute of Technology, Haifa, Israel


• To understand the role of quantitative MRI in assessing inflammation
• To appreciate the potential of AI tools for quantitative MRI analysis for inflammation assessment
• To identify specific quantitative MRI biomarkers for inflammation assessment in Crohn’s disease

Register here