Paper Info
Title
Fast iterative deconvolution technique for echographic imaging
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.
Year
DOI
Venue
1999
10.1117/12.348566
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
iterative deconvolution,echographic imaging,Wiener filter
Convergence (routing),Wiener filter,Blind deconvolution,Iterative method,Medical imaging,Computer science,Image processing,Algorithm,Deconvolution,Point spread function
Conference
Volume
ISSN
Citations 
3661
0277-786X
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Riccardo Carotenuto1176.21
giovanni cardone200.34
Gabriella Cincotti33414.04
paola gori400.34
Massimo Pappalardo512918.23