Statistical model-based scatter correction for 3D PET

Author

Chiba, Yoshiaki ; Kimura, Yuichi ; Kitamura, Keishi ; Oda, K. ; Uchiyama, Akihiko ; Ishiwata, Kiichi

Author_Institution

Graduate Sch. of Sci. & Eng., Waseda Univ., Tokyo, Japan

Volume

2

fYear

2002

fDate

2002

Firstpage

965

Abstract

The aim of this study is to propose a scatter correction method based on a statistical model of mixture Gaussian Model (MGM) that has robust capability for information extraction and can make smaller in size of PET data stored. Clustering algorithm based on MGM is applied to extract scatter component. MGM assumed that measured data are sum of unknown components that statistical characteristic is Gaussian. MGM was applied to three different implementations of one-, two-, and three-dimensional projection data. Good extraction performance and reduction of the amount of data are archived.

Keywords

gamma-ray scattering; medical image processing; positron emission tomography; statistical analysis; 3D PET; coincidence events detection; data amount reduction; diagnostic nuclear medicine; extraction performance; medical diagnostic imaging; mixture Gaussian model; scatter component extraction; statistical characteristic; statistical model-based scatter correction; unknown components sum; Biomedical engineering; Biomedical imaging; Convergence; Data engineering; Data mining; Histograms; Positron emission tomography; Probability; Robustness; Scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1106228

Filename

1106228