Call for Papers

Wavelets in Medical Imaging

Michael Unser, Akram Aldroubi, and Andrew Laine, Guest Editors

Wavelets provide a unifying framework for decomposing images, volumes, and time series data into their elementary constituents across scale. They are having a significant impact on the science of medical imaging and the diagnosis of disease and screening protocols. Because of a powerful underlying mathematical theory, they offer exciting opportunities for the design of new multi-resolution image processing algorithms, and novel acquisition methods such as wavelet-encoded MRI.

We invite submission of papers describing new applications of wavelets in medical imaging. Suggested topics include:

• Medical image compression
• CT reconstruction; local tomography
• Wavelet denoising (MRI, ultrasound)
• Wavelet-based feature extraction; texture
• Medical image enhancement (e.g. fluoroscopy, mammography)
• Analysis of functional images of the brain (PET, fMRI)
• Wavelet-encoded MRI
• Wavelets in spectroscopy (MRS)

The term “wavelet” here is meant in its broader sense. It encompasses all types of multi-resolution bases including wavelet packets and modulated cosines; redundant transforms or frames; multi-scale decompositions; Gabor functions; as well as continuous wavelet transforms.

IEEE Transactions on Medical Imaging (TMI) seeks high quality research papers for this special issue. Applying wavelets should not be a goal in itself. Their use should be well motivated with respect to medical significance; new wavelet methods should be evaluated against existing state-of-the art solutions, preferably using real data sets.

All authors should submit five copies of their manuscript and figures by October 1, 2001 to Prof. Unser or the T-MI Editorial Office. Authors intending to submit articles are encouraged to discuss their submissions with the Guest Editors.

Guest Editors:

Michael Unser, Professor	Akram Aldroubi, Professor	Andrew Laine, Professor
Biomedical Imaging Group	Department of Mathematics	Dept. of Biomedical Eng.
IOA, BM-4.127		416 CEPSR, MC-8904
Swiss Fed. Inst. of Technology	Vanderbilt University	530 West 120th Street
1015 Lausanne EPFL	Nashville TN 37240	New York, NY 10027
Switzerland	USA	USA
Phone: +41(21)693 51 75	Phone: (615)-322-6656	Phone: (212) 854-6539
Fax : +41(21)693 37 01	Fax: (615) 343-0215	Fax: (212) 854-2733
email:	email: aldroubi@math.vanderbilt.edu	email: laine@columbia.edu

Schedule:
Submission of manuscripts: October 1, 2001
Acceptance/rejection notification: January 15, 2002
Revised manuscripts due: April 1, 2002
Publication: July 2002