Performance comparison of smoothing and gamma priors for transmission tomography

Author

Hsiao, Ing-Tsung ; Wang, Wenli ; Gindi, Gene

Author_Institution

Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA

Volume

2

fYear

1999

fDate

1999

Firstpage

860

Abstract

The authors introduced (T. Hsiao et al., “Joint-MAP Reconstruction/Segmentation for Transmission Tomography Using Mixture-Models as Priors”, Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, II, p. 1689-93, 1998) a Bayesian method for transmission tomography that used a novel pointwise prior in the form of a mixture of gamma distributions. Here, the authors compare the performance their pointwise prior with that of a smoothing prior in the context of a weak tumor detection task for emission PET. The reprojected attenuation maps from each method are used for attenuation correction of 2D PET emission data. The authors´ focus is on the problem of low counts in the transmission scan

Keywords

gamma distribution; gamma-ray absorption; medical image processing; positron emission tomography; tumours; gamma distributions mixture; gamma priors; low counts problem; medical diagnostic imaging; nuclear medicine; pointwise prior; reprojected attenuation maps; smoothing; transmission scan; transmission tomography; weak tumor detection task; Attenuation measurement; Bayesian methods; Crosstalk; Detectors; Positron emission tomography; Scattering; Smoothing methods; Solid modeling; Statistical analysis; Tumors;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium, 1999. Conference Record. 1999 IEEE

Conference_Location

Seattle, WA

ISSN

1082-3654

Print_ISBN

0-7803-5696-9

Type

conf

DOI

10.1109/NSSMIC.1999.845800

Filename

845800