Simultaneous reconstruction and segmentation algorithm for positron emission tomography and transmission tomography

Author

De Sompel, D. Van ; Brady, M.

Author_Institution

Dept. of Eng. Sci., Univ. of Oxford, Oxford

fYear

2008

fDate

14-17 May 2008

Firstpage

1035

Lastpage

1038

Abstract

We present a new reconstruction algorithm for emission and transmission tomography. The algorithm performs maximum likelihood reconstruction and doubly stochastic segmentation simultaneously. The resulting reconstructions show promising edge-preservation as well as suppression of measurement noise.

Keywords

image reconstruction; image segmentation; maximum likelihood estimation; medical image processing; positron emission tomography; doubly stochastic segmentation; edge preservation; image reconstruction; image segmentation; maximum likelihood reconstruction; measurement noise suppression; positron emission tomography; segmentation algorithm; transmission tomography; Computed tomography; Event detection; Image reconstruction; Image segmentation; Iterative algorithms; Maximum likelihood estimation; Noise measurement; Object detection; Positron emission tomography; Reconstruction algorithms; Image reconstruction; image segmentation; maximum likelihood estimation; positron emission tomography; transmission tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on

Conference_Location

Paris

Print_ISBN

978-1-4244-2002-5

Electronic_ISBN

978-1-4244-2003-2

Type

conf

DOI

10.1109/ISBI.2008.4541176

Filename

4541176