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Proceedings Paper

Application of the discrete torus wavelet transform to the denoising of magnetic resonance images of uterine and ovarian masses
Author(s): Gordon E. Sarty; M. Stella Atkins; Femi Olatunbosun; Donna Chizen; John Loewy; Edward J. Kendall; Roger A. Pierson
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Paper Abstract

A new numerical wavelet transform, the discrete torus wavelet transform, is described and an application is given to the denoising of abdominal magnetic resonance imaging (MRI) data. The discrete tori wavelet transform is an undecimated wavelet transform which is computed using a discrete Fourier transform and multiplication instead of by direct convolution in the image domain. This approach leads to a decomposition of the image onto frames in the space of square summable functions on the discrete torus, l2(T2). The new transform was compared to the traditional decimated wavelet transform in its ability to denoise MRI data. By using denoised images as the basis for the computation of a nuclear magnetic resonance spin-spin relaxation-time map through least squares curve fitting, an error map was generated that was used to assess the performance of the denoising algorithms. The discrete torus wavelet transform outperformed the traditional wavelet transform in 88% of the T2 error map denoising tests with phantoms and gynecologic MRI images.

Paper Details

Date Published: 26 October 1999
PDF: 10 pages
Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); doi: 10.1117/12.366816
Show Author Affiliations
Gordon E. Sarty, Univ. of Saskatchewan (Canada)
M. Stella Atkins, Simon Fraser Univ. (Canada)
Femi Olatunbosun, Univ. of Saskatchewan (Canada)
Donna Chizen, Univ. of Saskatchewan (Canada)
John Loewy, Univ. of Saskatchewan (Canada)
Edward J. Kendall, Univ. of Saskatchewan (Canada)
Roger A. Pierson, Univ. of Saskatchewan (Canada)

Published in SPIE Proceedings Vol. 3813:
Wavelet Applications in Signal and Image Processing VII
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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