Improving Diagnostic Utility & Accuracy of Fetal MRI Using AI & Imaging Phantoms
Dr. Dafna Sussman
Assistant Professor, Biomedical Engineering and Biomedical Physics
Toronto Metropolitan University
Date: Friday, February 9, 2024
Time: 1–2 p.m. EST
Host: TBD
Location: In-person and virtual
Li Ka Shing Knowledge Institute, Auditorium, and via Zoom
Refreshments will be served.
Lecture Takeaways
The main takeaways are as follows:
- Review the current challenges in fetal MRI.
- Learn about the first anatomically correct fetal MR imaging phantom and how it will accelerate research and development in the field.
- Appreciate the role of artificial intelligence in facilitating and expediting fetal diagnosis.
Biography
Dr. Dafna Sussman is an assistant professor in Biomedical Engineering and Biomedical Physics as well as the Director for the Biomedical Engineering Graduate Program at Toronto Metropolitan University. She holds academic research affiliations in Obstetrics and Gynecology at the Temerty Centre for AI Research and Education in Medicine (T-CAIREM) at the University of Toronto, and at the Keenan Research Centre for Biomedical Sciences at St. Michael’s Hospital.
Dr. Sussman’s Maternal-Fetal Imaging (MFI) research group at the iBEST institute, St. Michael’s Hospital specializes in the development and clinical applications of novel AI and diagnostic imaging techniques and tools that facilitate maternal, fetal and placental diagnosis.
Dr. Sussman’s academic background includes a BASc in Engineering Science – Physics stream, with Honours (University of Toronto), a MSc in Biophysics (Waterloo University), and a PhD in Medical Biophysics – Clinical Imaging stream (University of Toronto). She completed her postdoctoral fellowships at the Hospital for Sick Children where she further specialized in Developmental Neuroimaging using Magnetic Resonance Imaging (MRI), Fetal Diagnostic Imaging and Maternal-Fetal Physiology.
No sign-up is required. For more information, contact the iBEST coordinator at ibest@torontomu.ca.
