Linear closed-form methods for ideal-sinogram estimation in 2D SPECT

Author

Pan, X. ; Metz, C.E.

Author_Institution

Dept. of Radiol., Chicago Univ., IL, USA

Volume

3

fYear

1996

Firstpage

1678

Abstract

We derived explicit relationships between the ideal sinogram and the sinogram degraded by both attenuation and distance-dependent spatial resolution in 2D SPECT that is described by either a Cauchy or a Gaussian function. Attempts to reduce the statistical variance in the reconstructed image lead to the development of infinite classes of closed-form methods for estimation of the ideal sinogram. These methods were applied in both computer-simulation and real-data studies

Keywords

Fourier transforms; Gaussian distribution; image reconstruction; image resolution; medical image processing; single photon emission computed tomography; 2D SPECT; Cauchy function; Gaussian function; attenuation; closed-form methods; computer-simulation; distance-dependent spatial resolution; ideal-sinogram estimation; infinite classes; linear closed-form methods; real-data studies; reconstructed image; statistical variance; Attenuation measurement; Attenuators; Cancer; Computational modeling; Computer simulation; Degradation; Image reconstruction; Image sampling; Radiology; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium, 1996. Conference Record., 1996 IEEE

Conference_Location

Anaheim, CA

ISSN

1082-3654

Print_ISBN

0-7803-3534-1

Type

conf

DOI

10.1109/NSSMIC.1996.587951

Filename

587951