Constrained least squares projection filtering: A new technique for the reconstruction of emission computed tomographic images

Gary Hutchins, W. Leslie Rogers, Neal H. Clinthorne, Robert A. Koeppe, Richard D. Hichwa

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

A new emission computed tomographic reconstruction technique has been developed. Each projection is fit with an arbitrary functional form which is constrained in shape by the sharpest response which can be obtained in a tomograph. The image is then reconstructed by backprojecting the best estimate projections which have been filtered by a ramp function in the frequency domain. This procedure reduces the variance in image pixel values while maintaining resolution which is near the intrinsic resolution of the tomograph. This paper presents results for both measured and simulated data from a tomograph designed to measure annihilation photons from the decay of positrons.

Original languageEnglish (US)
Pages (from-to)379-383
Number of pages5
JournalIEEE Transactions on Nuclear Science
Volume34
Issue number1
DOIs
StatePublished - 1987
Externally publishedYes

Fingerprint

Positrons
ramp functions
Photons
projection
Pixels
positrons
pixels
photons
decay
estimates

ASJC Scopus subject areas

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

Cite this

Constrained least squares projection filtering : A new technique for the reconstruction of emission computed tomographic images. / Hutchins, Gary; Rogers, W. Leslie; Clinthorne, Neal H.; Koeppe, Robert A.; Hichwa, Richard D.

In: IEEE Transactions on Nuclear Science, Vol. 34, No. 1, 1987, p. 379-383.

Research output: Contribution to journalArticle

Hutchins, Gary ; Rogers, W. Leslie ; Clinthorne, Neal H. ; Koeppe, Robert A. ; Hichwa, Richard D. / Constrained least squares projection filtering : A new technique for the reconstruction of emission computed tomographic images. In: IEEE Transactions on Nuclear Science. 1987 ; Vol. 34, No. 1. pp. 379-383.
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