Skip to content. Skip to navigation
CIM Menus


Methods to build, parameterize and validate high-resolution MRI-based computer heart models

Dr. Mihaela Pop
Jr. Research Scientist - Sunnybrook Research Institute, Lecturer - Dept. Medical Biophysics, University of Toronto

February 10, 2015 at  11:00 AM
McConnell Engineering Room 437


This talk will be focused on methods to build histologically validated preclinical 3D computerized heart models that are personalized from MR imaging and electrical mapping. In particular, we are interested in models coupled with fast computational algorithms (clinically tractable) that can simulate the propagation of the cardiac electrical impulse in less than a few minutes and predict the inducibility of abnormal heart rhythms. We envision that these image-based models will improve the diagnosis and therapy outcome of malignant arrhythmias in patients who suffered a heart attack and developed chronic infarct scars.


Dr. Mihaela Pop is currently a Junior Research Scientist in the Schulich Heart Program at Sunnybrook Research Institute Toronto and a Lecturer in the Department of Medical Biophysics at the University of Toronto. Dr. Pop completed her MSc in medical biophysics at Princess Margaret Hospital & Ontario Cancer Institute (University of Toronto) working on the modelling of radio-frequency thermal ablation therapy of kidney tumours. She then completed a PhD and a post-doctoral training in medical biophysics at Sunnybrook Research Institute, University of Toronto. Her work involves a multi-disciplinary research focused on cardiac tissue characterization using MRI, optical imaging and electrical mapping, combined with mathematical modelling relevant to electrophysiology. She works with scientists in the Medical physics and Imaging stream at Sunnybrook and closely collaborates with researchers in the Asclepios project at Inria (Nice, France). Since 2010, she has been actively involved in the organization of the STACOM workshop (Statistical and computational models of the heart) held annually in conjunction with the international conference MICCAI (Medical Image computing and computer assisted interventions).