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A Novel Model for Combining Projection and Image Filtering Using Kalman and Discrete Wavelet Transform in Computerized Tomography

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6 Author(s)
Laia, M. ; Dept. of Comput., Fed. Univ. of Sao Carlos, Sao Carlos ; Levada, A. ; Botega, L.C. ; Pereira, M.F.L.
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This paper presents a novel model for combining projection and image filtering in computerized tomography. First, it is used an a priori one-dimensional projection filtering, through an extended Kalman filter with joint estimation. Then, the reconstructed images, obtained filtered backprojection algorithms (including the use of Hamming windows), are filtered using the two-dimensional DWT and wavelet thresholding, a non-linear technique. Experiments considering only one filtering stage (a priori 1-D filtering or 2-D DWT image filtering) show images with significant higher noise levels and the combination showed great noise reduction. The obtained results lead to the conclusion that the proposed combining model is a valid and interesting tool for tomographic image analysis.

Published in:

Computational Science and Engineering, 2008. CSE '08. 11th IEEE International Conference on

Date of Conference:

16-18 July 2008