Wavelet domain filtering for nuclear medicine imaging

Author

Nowak, Robert D. ; Nowak, David J. ; Baraniuk, Richard G. ; Hellman, Robert S.

Author_Institution

Michigan State Univ., East Lansing, MI, USA

Volume

3

fYear

1996

Firstpage

1802

Abstract

The authors propose a new filtering/estimation method for nuclear medicine imaging. The statistical method of cross-validation is used to design optimal wavelet domain filters for improved image estimation. The quality of the resulting images is much better than standard image estimates, in both visual and mean square error senses. Moreover, experiments have shown that, using the new estimate, one can reduce the acquisition time by a factor of two and still retain high image quality

Keywords

filtering theory; medical image processing; radioisotope imaging; statistical analysis; wavelet transforms; acquisition time reduction; cross-validation; filtering/estimation method; image quality; improved image estimation; mean square error; medical diagnostic imaging; nuclear medicine imaging; statistical method; wavelet domain filtering; Digital filters; Digital signal processing; Filtering; Image quality; Maximum likelihood detection; Maximum likelihood estimation; Noise reduction; Nonlinear filters; Nuclear medicine; Wavelet domain;

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.1996.587979

Filename

587979