DocumentCode :
1622138
Title :
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
Link To Document :
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