Anatomy assisted MAP-EM PET image reconstruction incorporating joint entropies of wavelet subband image pairs

Jing Tang, Arman Rahmim

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

7 Scopus citations

Abstract

A promising approach in PET image reconstruction is to incorporate high resolution anatomical information (measured from MR or CT) taking the anato-functional mutual information (MI) or its joint entropy (JE) as the prior. The MI or JE of the images only classify voxels based on intensity, while neglecting structural spatial information. In this work, we have implemented an anatomy assisted MAP-EM algorithm wherein the JE measure is supplied by spatial information generated using wavelet analysis. This approach has the benefit of utilizing some theoretical advantages of wavelets, including the ability to decompose an image of certain size into downsampled subbands. The proposed MAP-EM algorithm involves calculation of derivatives of the subband JE measures with respect to PET image intensities, which we have shown can be computed very similar to how inverse wavelet transform is performed. Using simulations of a mathematical human brain phantom with activities generated based on a clinical FDG study, it was observed that compared to conventional EM reconstruction, the proposed MAP-EM algorithm exhibited improved quantitative performance.

Original languageEnglish (US)
Title of host publication2009 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2009
Pages3741-3745
Number of pages5
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2009 - Orlando, FL, United States
Duration: Oct 25 2009Oct 31 2009

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Other

Other2009 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2009
Country/TerritoryUnited States
CityOrlando, FL
Period10/25/0910/31/09

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

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