Seminar Series
Home → Seminar Series → Presentation

ICS import...
ICal Link

Friday November 14, 2014 --

2650 SMBB Auditorium, 11:45 am

speaker photo

Speaker: Jerry L. Prince, PhD, William B. Kouwenhoven Professor, Electrical and Computer Engineering, Johns Hopkins University

Jerry L. Prince received the B.S. degree from the University of Connecticut in 1979 and the S.M., E.E., and Ph.D. degrees in 1982, 1986, and 1988, respectively, from the Massachusetts Institute of Technology, all in electrical engineering and computer science. He worked at the Brigham and Women's Hospital, MIT Lincoln Laboratories, and The Analytic Sciences Corporation (TASC). He joined the faculty at the Johns Hopkins University in 1989, where he is currently William B. Kouwenhoven Professor in the Department of Electrical and Computer Engineering and holds joint appointments in the Departments of Radiology, Biomedical Engineering, Computer Science, and Applied Mathematics and Statistics. Dr. Prince is a Fellow of the IEEE, Fellow of the MICCAI Society, and a member of Sigma Xi. He also holds memberships in Tau Beta Pi, Eta Kappa Nu, and Phi Kappa Phi honor societies. He was an Associate Editor of IEEE Transactions on Image Processing from 1992-1995, an Associate Editor of IEEE Transactions on Medical Imaging from 2000-2004 and is currently a member of the Editorial Board of Medical Image Analysis. Dr. Prince received a 1993 National Science Foundation Presidential Faculty Fellows Award, was Maryland's 1997 Outstanding Young Engineer, and was awarded the MICCAI Society Enduring Impact Award in 2012. He is also co-founder of Diagnosoft, Inc., a medical imaging software company. His current research interests are in image processing and computer vision with primary application to medical imaging and has published over 300 articles and abstracts on these subjects.

Presentation Abstract:

There are no truly calibrated magnetic resonance images. Something is always just a little bit different when acquiring data from a different scanner or even the same scanner after an upgrade. Manufacturers have different strategies for optimizing their image quality and MR techs can change a parameter to try to improve the image quality on any given day. We have been exploring image synthesis methods to change this state of affairs. At least for the purpose of analyzing images using automatic algorithms, we are hopeful that through synthesis, we will be able to obtain more consistent results, and through this effort the results of automatic image analysis methods applied to MR images might become a more important part of clinical practice in the future. Four methods and a variety of results are presented in this talk. Sparse reconstruction is an important theme throughout, and image segmentation and registration are key methods that serve to demonstrate improvements. Although our results are very promising, this new area of research is controversial, and its future impact is uncertain. The talk concludes with some ideas about future directions and some thoughts about what might be possible in the future.

Faculty Host: Dr. Ed Hsu and Dr. Sarang Joshi Contact: