【海韵讲座】2014年第36期-厦门大学信息学院

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【海韵讲座】2014年第36期

发布时间：2014-07-16　点击：次

题目：Computer-aided Detection, Modeling, and Analysis of Retinal Vascular Architecture for the Diagnosis of Retinopathy 讲座人：Rangaraj M. Rangayyan，University of Calgary，Canada 讲座时间：7月17号（星期四）下午4:00-5:30 地点：本部嘉庚5-602 Abstract: The structure of the blood vessels in the retina is affected by diabetes, hypertension, arteriosclerosis, retinopathy of prematurity, and other conditions through modifications in shape, width, and tortuosity. Quantitative analysis of the architecture of the vasculature of the retina could assist in monitoring the evolution and stage of pathological processes, their effects on the visual system, and the response to treatment. Computer-aided detection, modeling, and quantitative analysis of features related to the retinal vascular architecture could assist in consistent, quantitative, and accurate assessment of pathological processes by ophthalmologists. This seminar provides details on digital image processing and pattern recognition techniques for the detection of retinal blood vessels, detection of the optic nerve head, and modeling for quantitative analysis of the temporal arcades. The techniques include methods for the detection of curvilinear structures, the Hough transform, Gabor filters, phase portraits, and specific algorithms for quantitative analysis of patterns of diagnostic interest. A graphical user interface is being developed to facilitate clinical application of the methods. Analysis of a dataset of retinal fundus images of 11 normal individuals and 11 patients with proliferative diabetic retinopathy using the parameters of parabolic models of the temporal arcades and the arcade angle resulted in areas under the receiver operating characteristics of A_z= 0.87, 0.82, and 0.80. With a dataset of 19 cases with plus disease and 91 cases with no plus disease, A_z= 0.70 and 0.73 were obtained using the parameters of parabolic models and arcade angle in screening for plus disease. Short Biography 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” (2003-2013) 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 "Color Image Processing with Biomedical Applications" (SPIE, 2011). He has been recognized with the 2013 IEEE Canada Outstanding Engineer Medal, the IEEE Third Millennium Medal (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).

外事秘书在 2014-07-16 提交