EECS500 Fall 2012 Department Seminar

Metin Gurcan
The Six Million Dollar Doctor: How to Enhance Speed and Vision of Doctors?
Ohio State College of Medicine
White Bldg., Room 411
11:30am - 12:30pm
September 20, 2012

Detection and diagnosis of several diseases and their treatment monitoring rely heavily on medical images (e.g. x-rays). These images are reviewed by doctors such as radiologists, pathologists. However, human analysis of medical images is a time-consuming process and is frequently subject to inter- and intra-reader variations. In medicine, this affects the prediction of the clinical outcome in an undesirable way. We are developing image analysis systems, for computer-assisted interpretations of medical images to assist radiologists and pathologists in their decision-making. Our goal is to provide computational tools, with which users can extract quantitative features useful for more objective and accurate image analysis, diagnosis and prognosis. Furthermore, we are investigating high-performance computational infrastructures to efficiently process these relatively large images. The developed systems provide promising results, both in terms of accuracy and computational efficiency. In this talk, we will provide an overview of the state-of-the art techniques as well as examples from our ongoing projects.


Dr. Metin Gurcan is an Associate Professor of Biomedical Informatics at the Ohio State University and the founding director of the Clinical Image Analysis Lab (www.bmi.osu.edu/cialab). Dr. Gurcan received his BSc. and Ph.D. degrees in Electrical and Electronics Engineering from Bilkent University, Turkey and his MSc. Degree in Digital Systems Engineering from the University of Manchester Institute of Science and Technology, England. From 1999 to 2001, he was a postdoctoral research fellow and later a research investigator in the Department of Radiology at the University of Michigan, Ann Arbor. Prior to joining the Ohio State University in October 2005, he worked as a senior researcher and product director at a high-tech company, specializing in computer-aided detection and diagnosis of cancer from radiological images. He is the author of over 90 peer-reviewed publications and was awarded two patents in computer-aided diagnosis in volumetric imagery. Dr. Gurcan is the recipient of the British Foreign and Commonwealth Organization Award; NIH Exceptional, Unconventional Research Enabling Knowledge Acceleration (EUREKA) Award; NCI caBIG Embodying the Vision Award; Children’s Neuroblastoma Cancer Foundation Young Investigator Award; The OSU Cancer Center REAP Award, and is a senior of member of IEEE, SPIE and RSNA.