Frequency characteristic study of filtered-backprojection reconstruction and maximum likelihood reconstruction for PET images

Author

Wang, Cliff X. ; Snyder, Wesley E.

Author_Institution

Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

577

Abstract

The filtered-backprojection algorithm and statistical model based iterative algorithms such as maximum likelihood reconstruction are the two major classes of tomographic reconstruction methods. Here, the authors studied the frequency characteristics of the filtered-backprojection method and the maximum likelihood method under noise free and noisy conditions. The experiment showed that the maximum likelihood algorithm may not generate superior image quality in terms of frequency characteristics

Keywords

image reconstruction; iterative methods; medical image processing; positron emission tomography; PET images; diagnostic nuclear medicine; filtered-backprojection reconstruction; frequency characteristic study; frequency characteristics; maximum likelihood algorithm; maximum likelihood reconstruction; medical diagnostic imaging; noise-free conditions; noisy conditions; statistical model based iterative algorithms; superior image quality; Cutoff frequency; Equations; Frequency estimation; Image reconstruction; Iterative algorithms; Iterative methods; Noise figure; Positron emission tomography; Reconstruction algorithms; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575258

Filename

575258