Self-normalisation of emission data in 3D-PET

Ramsey D Badawi, P. K. Marsden

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

We demonstrate that dead-time mismatch between the normalisation and emission acquisitions in three-dimensional positron emission tomography (3D PET) can introduce high-frequency circular image artefacts. We describe a simple correction scheme for this problem where appropriate correction factors are calculated from the emission data itself, thus avoiding the necessity of acquiring normalisation data at a range of different count-rates. In this scheme 'pseudo detector efficiencies' are calculated from the emission data by application of a conventional normalisation algorithm. The mean systematic variation in these pseudo-efficiencies with position within the block-detector is then calculated, and appropriate correction factors applied to the original emission data. We show that this 'self-normalisation' scheme can remove normalisation artefacts in phantom studies, and that it is also effective in vivo.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium and Medical Imaging Conference
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages1894-1897
Number of pages4
Volume3
ISBN (Print)0780350227
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record - Toronto, Que, Can
Duration: Nov 8 1998Nov 14 1998

Other

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

Fingerprint

Detectors
Positron emission tomography

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

Cite this

Badawi, R. D., & Marsden, P. K. (1999). Self-normalisation of emission data in 3D-PET. In IEEE Nuclear Science Symposium and Medical Imaging Conference (Vol. 3, pp. 1894-1897). Piscataway, NJ, United States: IEEE.

Self-normalisation of emission data in 3D-PET. / Badawi, Ramsey D; Marsden, P. K.

IEEE Nuclear Science Symposium and Medical Imaging Conference. Vol. 3 Piscataway, NJ, United States : IEEE, 1999. p. 1894-1897.

Research output: Chapter in Book/Report/Conference proceedingChapter

Badawi, RD & Marsden, PK 1999, Self-normalisation of emission data in 3D-PET. in IEEE Nuclear Science Symposium and Medical Imaging Conference. vol. 3, IEEE, Piscataway, NJ, United States, pp. 1894-1897, Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record, Toronto, Que, Can, 11/8/98.
Badawi RD, Marsden PK. Self-normalisation of emission data in 3D-PET. In IEEE Nuclear Science Symposium and Medical Imaging Conference. Vol. 3. Piscataway, NJ, United States: IEEE. 1999. p. 1894-1897
Badawi, Ramsey D ; Marsden, P. K. / Self-normalisation of emission data in 3D-PET. IEEE Nuclear Science Symposium and Medical Imaging Conference. Vol. 3 Piscataway, NJ, United States : IEEE, 1999. pp. 1894-1897
@inbook{95952086d690488f8957b6c225943149,
title = "Self-normalisation of emission data in 3D-PET",
abstract = "We demonstrate that dead-time mismatch between the normalisation and emission acquisitions in three-dimensional positron emission tomography (3D PET) can introduce high-frequency circular image artefacts. We describe a simple correction scheme for this problem where appropriate correction factors are calculated from the emission data itself, thus avoiding the necessity of acquiring normalisation data at a range of different count-rates. In this scheme 'pseudo detector efficiencies' are calculated from the emission data by application of a conventional normalisation algorithm. The mean systematic variation in these pseudo-efficiencies with position within the block-detector is then calculated, and appropriate correction factors applied to the original emission data. We show that this 'self-normalisation' scheme can remove normalisation artefacts in phantom studies, and that it is also effective in vivo.",
author = "Badawi, {Ramsey D} and Marsden, {P. K.}",
year = "1999",
language = "English (US)",
isbn = "0780350227",
volume = "3",
pages = "1894--1897",
booktitle = "IEEE Nuclear Science Symposium and Medical Imaging Conference",
publisher = "IEEE",

}

TY - CHAP

T1 - Self-normalisation of emission data in 3D-PET

AU - Badawi, Ramsey D

AU - Marsden, P. K.

PY - 1999

Y1 - 1999

N2 - We demonstrate that dead-time mismatch between the normalisation and emission acquisitions in three-dimensional positron emission tomography (3D PET) can introduce high-frequency circular image artefacts. We describe a simple correction scheme for this problem where appropriate correction factors are calculated from the emission data itself, thus avoiding the necessity of acquiring normalisation data at a range of different count-rates. In this scheme 'pseudo detector efficiencies' are calculated from the emission data by application of a conventional normalisation algorithm. The mean systematic variation in these pseudo-efficiencies with position within the block-detector is then calculated, and appropriate correction factors applied to the original emission data. We show that this 'self-normalisation' scheme can remove normalisation artefacts in phantom studies, and that it is also effective in vivo.

AB - We demonstrate that dead-time mismatch between the normalisation and emission acquisitions in three-dimensional positron emission tomography (3D PET) can introduce high-frequency circular image artefacts. We describe a simple correction scheme for this problem where appropriate correction factors are calculated from the emission data itself, thus avoiding the necessity of acquiring normalisation data at a range of different count-rates. In this scheme 'pseudo detector efficiencies' are calculated from the emission data by application of a conventional normalisation algorithm. The mean systematic variation in these pseudo-efficiencies with position within the block-detector is then calculated, and appropriate correction factors applied to the original emission data. We show that this 'self-normalisation' scheme can remove normalisation artefacts in phantom studies, and that it is also effective in vivo.

UR - http://www.scopus.com/inward/record.url?scp=0032596714&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032596714&partnerID=8YFLogxK

M3 - Chapter

SN - 0780350227

VL - 3

SP - 1894

EP - 1897

BT - IEEE Nuclear Science Symposium and Medical Imaging Conference

PB - IEEE

CY - Piscataway, NJ, United States

ER -