The goal of this project is to use mathematical modeling and analysis to develop a novel image formation method for breast microwave radar suitable for use in realistic breast imaging settings. This technique will be capable of generating accurate and high contrast images for a specific patient in real time.
Postdoctoral Fellow: Dr. Daniel Flores-Tapia, Department of the Mathematics, University of Manitoba
Lead faculty member: Dr. Kirill Kopotun, Department of the Mathematics, University of Manitoba
Breast Microwave Radar is a promising new technology for breast cancer detection. Nevertheless, current image formation methods face issues that limit the use of this technology in clinical scenarios. The goal of this project is to use mathematical modeling and analysis to develop a novel image formation method for breast microwave radar suitable for use in realistic breast imaging settings. This technique will be capable of generating accurate and high contrast images for a specific patient in real time. The proposed method will be validated using datasets collected from artificial breast models that mimic the electric properties of real breast tissues. This project will develop a key component needed by our partner organization to create a breast imaging technology that will be fast, accurate, comfortable, safe and cost effective. Such technology would improve breast cancer control, increasing the quality of life for all Canadians.