Enhancement of noisy planar nuclear medicine images using mean field annealing

Daniyel Falk, D. M. Rubin, T. Marwala

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Nuclear medicine (NM) images inherently suffer from large amounts of noise and blur. The purpose of this research is to reduce the noise and blur while maintaining image integrity for improved diagnosis. The proposed solution is to increase image quality after the standard pre- and postprocessing undertaken by a gamma camera system. Mean Field Annealing (MFA) is the image processing technique used in this research. It is a computational iterative technique that makes use of the Point Spread Function (PSF) and the noise associated with the NM image. MFA is applied to NM images with the objective of reducing noise while not compromising edge integrity. Using a sharpening filter as a post-processing technique (after MFA) yields image enhancement of planar NM images.

Original languageEnglish
Title of host publicationIFMBE Proceedings
EditorsSun I. Kim, Tae Suk Suh
PublisherSpringer Verlag
Pages2415-2418
Number of pages4
Edition1
ISBN (Print)9783540368397
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event10th World Congress on Medical Physics and Biomedical Engineering, WC 2006 - Seoul, Korea, Republic of
Duration: 27 Aug 20061 Sept 2006

Publication series

NameIFMBE Proceedings
Number1
Volume14
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Conference

Conference10th World Congress on Medical Physics and Biomedical Engineering, WC 2006
Country/TerritoryKorea, Republic of
CitySeoul
Period27/08/061/09/06

Keywords

  • Image restoration
  • Mean field annealing
  • Nuclear medicine

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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