Inclusion of a priori information in frequency space for quantitative SPECT imaging

Author

Cheng, Jui-Hsi ; Liang, Zhengrong ; Li, Jian ; Ye, Jinghan ; Harrington, Donald

Author_Institution

Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA

Volume

3

fYear

1996

Firstpage

1648

Abstract

A Wiener filter has been designed for noise suppression in SPECT. To implement this filter, the authors used a square-root transform and designed a butterfly window and a weighting window to improve the estimation of the power spectra of the noise, the measurement, and the signal. These two windows were derived based on the frequency distribution of noise-free sinograms. Simulations and experiments were performed using the Hoffman brain phantom. The results show the advantage over the traditional implementation of low pass filter

Keywords

Wiener filters; brain; medical image processing; noise; single photon emission computed tomography; Hoffman brain phantom; SPECT noise suppression; a priori information inclusion; butterfly window; frequency distribution; low pass filter; medical diagnostic imaging; noise-free sinograms; nuclear medicine; power spectra; square-root transform; weighting window; Brain modeling; Computer science; Frequency estimation; Ice; Imaging phantoms; Noise measurement; Power measurement; Radiology; Signal design; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium, 1996. Conference Record., 1996 IEEE

Conference_Location

Anaheim, CA

ISSN

1082-3654

Print_ISBN

0-7803-3534-1

Type

conf

DOI

10.1109/NSSMIC.1996.587942

Filename

587942