KEYNOTE SPEAKER

Computer-aided Detection of Subtle Signs of Breast Cancer in Mammograms

Prof. Rangaraj Rangayyan
University of Calgary, Canada

Abstract

Architectural distortion is a subtle sign of breast cancer that could be missed in screening mammography. This seminar will present several techniques of image processing for the detection of architectural distortion in mammograms based on the analysis of oriented texture using Gabor filters, modeling of orientation fields by phase portraits, and analysis of the oriented structure of breast tissues. With a dataset of 106 prior mammograms of 56 interval-cancer cases and 52 mammograms of 13 normal cases, free-response receiver operating characteristics indicated a sensitivity of 0.80 at fewer than 4 false positives per patient. The results indicate that the methods proposed can help in the detection of breast cancer at earlier stages than possible by visual interpretation.

Biography of the Keynote Speaker

Rangaraj M. Rangayyan is a Professor of Electrical and Computer Engineering, and an Adjunct Professor of Surgery and Radiology, at the University of Calgary, Calgary, Alberta, Canada. He received the Bachelor of Engineering in Electronics and Communication in 1976 from the University of Mysore at the People's Education Society College of Engineering, Mandya, Karnataka, India, and the Ph.D. in Electrical Engineering from the Indian Institute of Science, Bangalore, Karnataka, India, in 1980. His research interests are in digital signal and image processing, biomedical signal and image analysis, and computer-aided diagnosis. He has published more than 150 papers in journals and 250 papers in proceedings of conferences. He has been recognized with the 1997 and 2001 Research Excellence Awards of the Department of Electrical and Computer Engineering, the 1997 Research Award of the Faculty of Engineering, and by appointment as “University Professor” in 2003, at the University of Calgary. He is the author of two textbooks: Biomedical Signal Analysis (IEEE/ Wiley, 2002) and Biomedical Image Analysis (CRC, 2005). He has coauthored and coedited several other books, including one on Color Image Processing with Biomedical Applications (SPIE, 2011). He has been recognized with the IEEE Third Millennium Medal in 2000, and elected as Fellow, IEEE (2001); Fellow, Engineering Institute of Canada (2002); Fellow, American Institute for Medical and Biological Engineering (2003); Fellow, SPIE (2003); Fellow, Society for Imaging Informatics in Medicine (2007); Fellow, Canadian Medical and Biological Engineering Society (2007); and Fellow, Canadian Academy of Engineering (2009).