SEMINAR

You are invited to attend the following lecture from 11am-noon this
 morning in the Radiology Department's Doppman Conference Room:

 Computer-Aided Diagnosis in Medical Imaging: Functional MRI and
 Pattern Recognition

 Technical innovations in medical cross-sectional imaging have opened
 up new vistas for the exploration of the human body, enabling both
 high spatial and temporal resolution. However, these techniques have
 led to vast amounts of image data whose precise and reliable visual
 analysis by medical doctors and bioscientists requires a considerable
 amount of human intervention and expertise, thus resulting in a cost
 factor of substantial economic relevance. Hence, the
 computer-assisted analysis of medical image data has moved into the
 focus of interest as an issue of high priority research efforts. The
 talk covers new methods for pattern recognition and computer-aided
 diagnosis in the field of MRI, such as functional MRI for human brain
 mapping, therapy control by automatic lesion detection in multiple
 sclerosis, and new approaches to breast cancer diagnosis in MRI
 mammography. An outlook to topical projects in bioinformatics
 confirms the broad applicability of the presented methods.

 Biosketch:

 Axel Wismueller studied medicine at the Technical University of
 Munich and the University of Regensburg, Germany, with study exchange
 programs in Switzerland and the USA (Yale University). He received
 his M.D. degree from the Technical University of Munich for a
 scientific thesis in neurology in 1992. He successfully passed the U.
 S. medical examinations ECFMG and FLEX. In parallel to his clinical
 work in internal medicine, he studied physics at the University of
 Munich where he received a German masters degree in theoretical
 physics from the University of Munich in 1996 for a scientific thesis
 on pattern recognition. Since 1997, he has been working as a fellow
 of radiology in the Department of Clinical Radiology at the
 University of Munich, where he founded the Digital Image Processing
 Group. His main research interest is focussed on innovative
 strategies for computer-aided diagnosis and pattern recognition in
 MRI data, such as functional MRI for human brain mapping or the
 diagnosis of breast cancer in MRI mammography. Dr. Wismueller is
 author of more than 70 scientific journal and conference publications
 related to pattern recognition in biomedicine.