Share Email Print

Proceedings Paper

Wavelet-based pre-smoothing and post-denoising for iterative image reconstruction for emission tomography
Author(s): Puyi Lu; Keisaku Mitsui; Hongying Zuo; Shigehito Suzuki
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A wavelet-based smoothing technique based on hard and soft thresholding is proposed to eliminate statistical noise interference in the reconstruction of emission computed tomography. The interference is due to Poisson noise in the projection data. Pre-smoothing for projection data is performed to reduce the noise interference, together with post-smoothing for reconstructed images from the pre-smoothed projection data. The present work also investigates not only optimal parameter values for hard and soft thresholding but also the reason why the parameter values produced good smoothing results. An analysis was made about parameter values for thresholding with which good smoothing results were produced for the purpose of explaining the reason. Based on this analysis, an ad-hoc denoising algorithm is proposed for pre- and post- smoothing.

Paper Details

Date Published: 17 September 2005
PDF: 11 pages
Proc. SPIE 5914, Wavelets XI, 591422 (17 September 2005); doi: 10.1117/12.616192
Show Author Affiliations
Puyi Lu, Kitami Institute of Technology (Japan)
Keisaku Mitsui, Kitami Institute of Technology (Japan)
Hongying Zuo, Kitami Institute of Technology (Japan)
Shigehito Suzuki, Kitami Institute of Technology (Japan)

Published in SPIE Proceedings Vol. 5914:
Wavelets XI
Manos Papadakis; Andrew F. Laine; Michael A. Unser, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?