Share Email Print
cover

Proceedings Paper

2D deconvolution of SPECT images using morphological information
Author(s): Mario Bertero; Patrizia Boccacci; D. Brunengo; Monica Gambaro; Andrea Schenone
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Single photon emission computed tomography (SPECT) images are significantly degraded by scattering, attenuation, and intrinsic resolution of collimator. The result is a loss of image quality and quantitative accuracy. These images can still give some useful information, when compared with MR or CT images, so that some patients are periodically monitored by morphological (MR or CT) and functional (SPECT) investigations and these images are matched to determine a space correlation. A method to deconvolve the SPECT images, using the 'a priori' information coming from morphological images, is proposed. This information may be seen as a deterministic constraint to be imposed on the solution of the deconvolution problem and incorporated in the numerical algorithms using projection operators.

Paper Details

Date Published: 9 October 1995
PDF: 9 pages
Proc. SPIE 2570, Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications, (9 October 1995); doi: 10.1117/12.224158
Show Author Affiliations
Mario Bertero, Univ. di Genova (Italy)
Patrizia Boccacci, Univ. di Genova (Italy)
D. Brunengo, Univ. di Genova (Italy)
Monica Gambaro, National Institute of Cancer Research (Italy)
Andrea Schenone, National Institute of Cancer Research (Italy)


Published in SPIE Proceedings Vol. 2570:
Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications
Randall Locke Barbour; Mark J. Carvlin; Michael A. Fiddy, Editor(s)

© SPIE. Terms of Use
Back to Top