Expectation maximization reconstruction of PET image with non-rigid motion compensation

Feng Qiao, John W. Clark, Tinsu Pan, Osama Mawlawi

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

5 Scopus citations

Abstract

Motion artifact degrades PET imaging which often leads to inaccurate quantification of radioactivity concentration. Current motion correction algorithms generally lack the ability to compensate for non-rigid motions as well as perform poorly for frequent non-cyclical motions. In this paper, we derive from first principles a general list mode reconstruction algorithm that accounts for time-varying system responses. We further model the system response function in a way to incorporate the non-rigid motion. The resultant list mode reconstruction algorithm has the ability to compensate for frequent and non-rigid motions, with all detected events utilized. We also provide a histogram reconstruction algorithm that is tailored for gated PET acquisition with reduced usage of computational resource. This algorithm shows good motion compensation capability with computer simulated data and there is no obvious motion artifact visible on the reconstructed image.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages4453-4456
Number of pages4
StatePublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period9/1/059/4/05

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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