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Proceedings Paper

Fast iterative deconvolution technique for echographic imaging
Author(s): Riccardo Carotenuto; Giovanni Cardone; Gabriella Cincotti; Paola Gori; Massimo Pappalardo
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Paper Abstract

Many deconvolution techniques have been proposed in literature based on the knowledge of the Point Spread Function or on its estimation from the observed image. In this paper, we propose an alternative approach, which performs a local inversion through an iterative technique. The proposed iterative deconvolution combines accuracy with fast execution and it is well suited for fast hardware implementation. A discussion on the convergence of the algorithm is also presented in the paper. A novel approach to the deconvolution in medical imaging is proposed. Although its efficiency has been demonstrated in the work only for improving lateral resolution, it can easily be applied to full 2-dimensional deconvolution. The proposed technique has local characteristics and can operate on a limited number of data at a time with great advantage for memory storage requirements; further, it is well suited for a fast hardware implementation because only multiplications and summations are used in the algorithm. The feasibility of an alternative technique for the medical image deconvolution is analyzed theoretically; experimental results are also presented. The results are compared with those obtained by a conventional Fourier-based method.

Paper Details

Date Published: 21 May 1999
PDF: 8 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999);
Show Author Affiliations
Riccardo Carotenuto, Univ. degli Studi di Roma III (Italy)
Giovanni Cardone, Univ. degli Studi di Roma III (Italy)
Gabriella Cincotti, Univ. degli Studi di Roma III (Italy)
Paola Gori, Univ. degli Studi di Roma III (Italy)
Massimo Pappalardo, Univ. degli Studi di Roma III (Italy)

Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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