Improved emission tomography via multiscale sinogram analysis

Author

Timmermann, K.E. ; Nowak, R.D. ; Jones, K.J.

Author_Institution

Michigan State Univ., East Lansing, MI, USA

Volume

6

fYear

1999

fDate

15-19 Mar 1999

Firstpage

3417

Abstract

In this paper, we extend a multiscale Bayesian approach to modeling and estimation of general Poisson processes previously developed in Timmermann and Nowak (1997), and apply it to the emission computed tomography (ECT) image reconstruction problem. We develop a practical prior model for the sinogram image, which we use to estimate the underlying sinogram intensity from the raw projection data prior reconstruction. This sinogram estimate is then used in conjunction with the standard filtered-backprojection algorithm to produce an improved image reconstruction. The impact of the new filtering approach on ECT imaging is illustrated with simulated and clinical data

Keywords

Bayes methods; digital filters; emission tomography; image reconstruction; medical image processing; ECT; emission computed tomography; filtered-backprojection algorithm; general Poisson processes; image reconstruction; improved emission tomography; multiscale Bayesian approach; multiscale sinogram analysis; practical prior model; sinogram image; sinogram intensity; Bayesian methods; Computational modeling; Computed tomography; Electrical capacitance tomography; Filtering; Filters; Image reconstruction; Positron emission tomography; Single photon emission computed tomography; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.757576

Filename

757576