|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:
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.
- 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)
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.
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: firstname.lastname@example.org email: email@example.com
Submission of manuscripts: October 1, 2001
Acceptance/rejection notification: January 15, 2002
Revised manuscripts due: April 1, 2002
Publication: July 2002