Application of simulated annealing to coded-aperture design and tomographic reconstruction

W. E. Smith; R. G. Paxman; H. H. Barrett

doi:10.1109/TNS.1985.4336937

Application of simulated annealing to coded-aperture design and tomographic reconstruction

W. E. Smith, R. G. Paxman, H. H. Barrett

Medical Imaging

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Reconstructions from coded-image data obtained with the simulated annealing algorithm are presented along with an experiment testing the effects of annealing. An efficient perturbation method for system optimization is defined, and the role of simulated annealing in such an optimization is discussed.

Original language	English (US)
Pages (from-to)	758-761
Number of pages	4
Journal	IEEE Transactions on Nuclear Science
Volume	32
Issue number	1
DOIs	https://doi.org/10.1109/TNS.1985.4336937
State	Published - Feb 1985

ASJC Scopus subject areas

Nuclear and High Energy Physics
Nuclear Energy and Engineering
Electrical and Electronic Engineering

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title = "Application of simulated annealing to coded-aperture design and tomographic reconstruction",

abstract = "Reconstructions from coded-image data obtained with the simulated annealing algorithm are presented along with an experiment testing the effects of annealing. An efficient perturbation method for system optimization is defined, and the role of simulated annealing in such an optimization is discussed.",

author = "Smith, {W. E.} and Paxman, {R. G.} and Barrett, {H. H.}",

year = "1985",

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doi = "10.1109/TNS.1985.4336937",

language = "English (US)",

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T1 - Application of simulated annealing to coded-aperture design and tomographic reconstruction

AU - Smith, W. E.

AU - Paxman, R. G.

AU - Barrett, H. H.

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N2 - Reconstructions from coded-image data obtained with the simulated annealing algorithm are presented along with an experiment testing the effects of annealing. An efficient perturbation method for system optimization is defined, and the role of simulated annealing in such an optimization is discussed.

AB - Reconstructions from coded-image data obtained with the simulated annealing algorithm are presented along with an experiment testing the effects of annealing. An efficient perturbation method for system optimization is defined, and the role of simulated annealing in such an optimization is discussed.

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Application of simulated annealing to coded-aperture design and tomographic reconstruction

Abstract

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