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 (wernick@iit.edu)
Charles A. Bouman - Departments of Electrical and Computer Engineering and
Biomedical Engineering, Purdue University, West Lafayette, IN
(bouman@purdue.edu)
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
(leahy@sipi.usc.edu)
James S. Duncan - Departments of Biomedical Engineering, Diagnostic
Radiology, and Electrical Engineering, Yale University, New Haven, CT
(james.duncan@yale.edu)
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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