Alternating minimization algorithms for transmission tomography using energy detectors

Author

O´Sullivan, Joseph A. ; Snyder, Donald L. ; Whiting, Bruce R.

Author_Institution

Dept. of Electr. Eng., Washington Univ., St. Louis, MO, USA

Volume

1

fYear

2002

fDate

3-6 Nov. 2002

Firstpage

144

Abstract

Expectation-minimization algorithms for transmission tomography are extended to account for detectors that are modeled as integrating the energy of the incident X-ray photons. The resulting algorithm is guaranteed to monotonically increase the log likelihood functional. Both the expectation step and the maximization step are given in closed form. The formulation is general enough that it can be extended to other energy-dependent models for the detectors.

Keywords

X-ray detection; X-ray imaging; image reconstruction; image sensors; iterative methods; minimisation; tomography; alternating minimization algorithms; data transmission; energy detectors; energy-dependent models; expectation-maximization algorithms; image reconstruction; incident X-ray photons; loglikelihood functional; transmission tomography; Data models; Extraterrestrial measurements; Image reconstruction; Minimization methods; Physics; Radiology; Single photon emission computed tomography; X-ray detection; X-ray detectors; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7576-9

Type

conf

DOI

10.1109/ACSSC.2002.1197165

Filename

1197165