Constrained least squares filtering in high resolution PET and SPECT imaging

Gary Hutchins, W. Leslie Rogers, Ping Chiao, Raymond R. Raylman, Brian W. Murphy

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Constrained least squares filtering is a technique which employs apriori tomograph response information for the filtering of projection data prior to the filtered backprojection of radionuclide distribution images. This paper describes a simulation study which evaluates the performance of this algorithm as a function of the sampling density within each projection of the radon transform. The results of this evaluation demonstrate that the efficient application of this algorithm requires higher sampling densities than are typically employed in high resolution PET and SPECT. Therefore, application of this algorithm requires software and/or hardware modification of the data acquisition sampling schemes employed in tomographic systems.

Original languageEnglish (US)
Pages (from-to)647-651
Number of pages5
JournalIEEE Transactions on Nuclear Science
Volume37
Issue number2
DOIs
StatePublished - 1990
Externally publishedYes

Fingerprint

sampling
Sampling
Imaging techniques
high resolution
projection
Radon
radon
Radioisotopes
radioactive isotopes
data acquisition
Data acquisition
hardware
computer programs
Hardware
evaluation
simulation

ASJC Scopus subject areas

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

Cite this

Constrained least squares filtering in high resolution PET and SPECT imaging. / Hutchins, Gary; Rogers, W. Leslie; Chiao, Ping; Raylman, Raymond R.; Murphy, Brian W.

In: IEEE Transactions on Nuclear Science, Vol. 37, No. 2, 1990, p. 647-651.

Research output: Contribution to journalArticle

Hutchins, Gary ; Rogers, W. Leslie ; Chiao, Ping ; Raylman, Raymond R. ; Murphy, Brian W. / Constrained least squares filtering in high resolution PET and SPECT imaging. In: IEEE Transactions on Nuclear Science. 1990 ; Vol. 37, No. 2. pp. 647-651.
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