Ultrasonic Visualization, Imaging & Characterization
Prof. Lawrence H. Le, Ph.D., MBA
Clinical Professor, Radiology and Diagnostic Imaging, U of Alberta
Adjunct Professor & Senior Visiting Scholar, Fudan University, Shanghai, China
Graduate Coordinator, Radiology and Diagnostic Imaging, U of Alberta
Senior Medical Physicist, Alberta Health Services
Team Leader, Authorized Radiation Protection Agency (Edmonton), Alberta Health Services
About me
MBA in Finance & Technology Commercialization, U of Alberta
PhD in Geophysics, University of Alberta
Contact details
Office: 4-113, Research Transition Facility, 8308 - 114 Street, Edmonton, AB, Canada T6G 2E1
Phone: +1 (780) 407-1153 | Fax: +1 (780) 407-7280
Email: lawrence.le{at}ualberta.ca
Dr. Lawrence Le obtained his Ph.D. in geophysics from the University of Alberta. He did his postdoctoral training in Schlumberger-Doll Research, Ridgefield Connecticut, USA and later was a research associate at the University of Calgary. He started his medical physics residency training in 1994 and is currently a medical physicist in Alberta Health Services. Dr. Le is a Clinical Professor in Medical Physics and Radiology and has also been the Director of the Graduate Program in the Department of Radiology and Diagnostic Imaging since 2014. Dr. Le also holds the rank of Adjunct Professor at Fudan University, China, and was a senior visiting Fudan scholar.
His primary research interest is ultrasound imaging of bone tissues relevant to patient care. This includes basic research, development of innovative imaging techniques, and clinical validation. His research involves multi-disciplinary methods to solve medical-related problems, spanning from ultrasound physics, biomedical engineering, signal processing, image processing, artificial intelligence, 3D image vision and fusion, prototype development, to electronics. His graduate students benefit from his wide network of collaborators within the campus and worldwide.
Research Projects
Ultrasound Imaging
Computer Vision
Image Processing, Signal Processing
Inversion
Machine Learning
Smart Sensor System