Wavelet domain filtering for nuclear medicine imaging

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

We 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, we can reduce the acquisition time by a factor of two and still retain high image quality.

Original languageEnglish
Title of host publicationIEEE Nuclear Science Symposium & Medical Imaging Conference
Place of PublicationPiscataway, NJ, United States
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1802-1806
Number of pages5
Volume3
StatePublished - Dec 1 1996
EventProceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3) - Anaheim, CA, USA
Duration: Nov 2 1996Nov 9 1996

Other

OtherProceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3)
CityAnaheim, CA, USA
Period11/2/9611/9/96

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Wavelet domain filtering for nuclear medicine imaging'. Together they form a unique fingerprint.

Cite this