Wavelet based multiresolution expectation maximization reconstruction algorithm for positron emission tomography (PET)

Amar Raheja, Atam P. Dhawan

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

Abstract

Maximum Likelihood estimation based Expectation Maximization(EM) reconstruction algorithm [1] has been shown to provide good quality reconstruction for PET. Our previous work [2,3] introduced multigrid concept for PET image reconstruction using EM. The multiresolution EM (MREM) algorithm is an attempt to improve the EM based estimation through an effective use of multi-resolution grids in both image-reconstruction and detector spaces. The algorithm begins iterating at the coarsest grid level using tube data that has been re-organized (re-binned) at the coarsest detector level. It switches both the grid and detector levels simultaneously until the finest detector and grid resolution are reached. This algorithm incorporates a wavelet decomposition based transition criterion for switching grid levels and a wavelet spline based interpolation method for projecting the intermediate reconstruction from a specific grid level to the next finer grid.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium and Medical Imaging Conference
PublisherIEEE
Pages1330-1331
Number of pages2
ISBN (Print)0780350227
StatePublished - Jan 1 1999
Externally publishedYes
EventProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record - Toronto, Que, Can
Duration: Nov 8 1998Nov 14 1998

Publication series

NameIEEE Nuclear Science Symposium and Medical Imaging Conference
Volume2

Other

OtherProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record
CityToronto, Que, Can
Period11/8/9811/14/98

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

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