CALL FOR PAPERS IEEE SIGNAL PROCESSING MAGAZINE Special Issue on Medical Imaging Guest Editors: Miles N. Wernick - Medical Imaging Research Center and Departments of Electrical and Computer Engineering and Biomedical Engineering, Illinois Institute of Technology, Chicago, IL ([email protected]) Charles A. Bouman - Departments of Electrical and Computer Engineering and Biomedical Engineering, Purdue University, West Lafayette, IN ([email protected]) Richard M. Leahy - Departments of Electrical Engineering–Systems, Radiology, and Biomedical Engineering, and Signal and Image Processing Institute, University of Southern California, Los Angeles, CA ([email protected]) James S. Duncan - Departments of Biomedical Engineering, Diagnostic Radiology, and Electrical Engineering, Yale University, New Haven, CT ([email protected]) The field of medical imaging has revolutionized modern medicine, producing a broad arsenal of technologies used to map the body’s internal structure and function. At the heart of medical imaging is a host of image processing technologies that play a pivotal role, not only in processing and analyzing the images, but also in forming them. Modern-day imaging systems rely on tomographic image reconstruction based on the solution of ill-posed inverse problems. Today’s functional brain mapping involves a complex pipeline of image processing, machine learning, and statistical resampling procedures, leading to images depicting patterns of activity in the brain. Automated image analysis techniques are widely used to monitor drug effects in large-scale clinical trials, to assist in the diagnosis of patients, to plan and guide surgery, and even to replace some invasive procedures. New imaging hardware is driving the need for new algorithms required to compute images from complex sources of acquired data. The purpose of this special issue will be to acquaint the broader signal processing community with a sampling of cutting-edge issues in today’s medical imaging. This Call for Papers is an invitation for contributed articles, having a tutorial flavor, about timely and interesting topics in medical imaging that would have broad appeal to the signal and image processing community. Potential topics include, but are not limited to, the following: * Mapping the human brain * Multi-modality imaging * Image-guided intervention * Biomechanical modeling in image analysis * X-ray phase imaging * Content-based image retrieval and computer-aided diagnosis * Tractography * Inverse methods for emerging imaging modalities * Complex and system level models for image formation and analysis Submission Procedure: Prospective authors should submit their white papers to the web submission system at http://www.ee.columbia.edu/spm/ . Schedule White paper due: June 1, 2009 Invitation notification: July 1, 2009 Manuscript due: October 1, 2009 Acceptance notification: January 1, 2009 Final manuscript due: March 1, 2010 Publication date: July 2010 --

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