Faculty of Engineering and Natural Sciences
Content-Based Search and Retrieval of Brain Magnetic Resonance Images
The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing computerized methods to help the medical expert, these efforts have primarily emphasized improving the effectiveness in single patient data, such as finding a brain lesion and computing its size. However, patient-to-patient comparison that should help improve diagnosis and therapy has not received as much attention. Accordingly, in this talk we will focus on search and retrieval of brain magnetic resonance images. We will first discuss a clinical problem - a brain disease - and then in the second part we will talk about the application of content-based search and retrieval and how this can be used to help in automated analysis of such diseases.
Dr. Ünay is a visiting researcher in the VPA Lab of the Faculty of Engineering and Natural Sciences at
Turkey. He received his PhD in Applied Sciences from Faculté Polytechnique de Mons,
Belgium, and an MS in Biomedical Engineering and a BS in Electrical and Electronics Engineering from
Turkey. Following his PhD study, Dr. Ünay worked also as a senior scientist and a Marie Curie fellow in the Video Processing and Analysis Group at Philips Research Eindhoven, the
Netherlands. His research interests include medical image analysis, content-based information retrieval, machine learning as well as machine vision and quality inspection. He has written more that 30 papers and has one patent filing.
March 11, 2009, 13:40, FENS G032