Dr. Leahy's research interests lie in the application of signal and image processing theory to the formation and analysis of biomedical images. His research group is currently involved in the development and analysis of computational methods for formation of positron emission tomography (PET) images with applications in clinical oncology and gene expression imaging in small animals. For the past 15 years, Dr. Leahy has been involved in the development of inverse method for spatio-temporal imaging of neural activity from measurements of magnetoencephalographic (MEG) and electroencephalographic (EEG) data. The results of this research are distributed to the research community in the form of a freely available software package, BrainStorm. Dr. Leahy has also had a long research interest in the analysis of anatomical imagery, and specifically in the automated segmentation and labelling of neuroanatomical images and in extracting surface representations of the cer! ebral cortex from volumetric data. His work is supported by the National Cancer Institute, the National Institute of Mental Health and the National Center for Research Resources.
Ph.D. in Electrical Engineering, 1984, University of Newcastle, England. 1985-1991: Assistant Professor, Dept. of Electrical Engineering, USC 1989- present: Associate Editor, IEEE Transactions on Medical Imaging. 1991 -1997: Associate Professor, Dept. of Electrical Engineering, USC 1997-present: Professor, Electrical Engineering, Biomedical Engineering and Radiology, USC 1997-present Director: Signal and Image Processing Institute, USC 2000: Visiting Professor (Sabbatical), Crump Institute for Molecular Imaging, School of Medicine, UCLA. 2001-present: Associate Member, CRUMP Institute for Molecular Imaging, UCLA 2001-present: Associate Member, Laboratory of Neuroimaging, UCLA 2001: Co-chair, International Conference on Information Processing in Medical Imaging, IPMI01, Davis, CA.