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Proceedings Paper

Regularized image restoration in nuclear medicine
Author(s): Ghada Jammal; Albert Bijaoui
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Paper Abstract

The problem we are interested in is the restoration of nuclear medicine images acquired by a gamma camera. In a previous paper the authors have developed a wavelet based filtering method enabling to remove one of the major sources of error in nuclear medicine, namely Poisson noise. The purpose of this paper is to show how the restoration algorithm has been improved by introducing the point spread function as additional constraint in the restoration of the wavelet coefficients and choosing the regularization constraint in the object space. We describe a new restoration algorithm where filtering and deconvolution are coupled in a multiresolution frame. The performances are illustrated with simulated data and phantom images.

Paper Details

Date Published: 26 October 1999
PDF: 8 pages
Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); doi: 10.1117/12.366841
Show Author Affiliations
Ghada Jammal, Technische Univ. Darmstadt (Germany)
Albert Bijaoui, Observatoire de la Cote d'Azur (France)


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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