2D deconvolution of SPECT images using morphological information

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.© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.