Improved positron emission tomography quantification by Fourier-based restoration filtering

Jonathan M Links, Jeffrey Pettit Leal, Hans W. Mueller-Gaertner, Henry N. Wagner

Research output: Contribution to journalArticle

Abstract

Positron emission tomography (PET) images are characterized by both poor spatial resolution and high statistical noise. Conventional methods to reduce noise, such as local weighted averaging, produce further deteriorations in spatial resolution, while the use of deconvolution to recover resolution typically amplifies noise to unacceptable levels. We studied the use of two-dimensional Fourier filtering to simultaneously increase quantitative recovery and reduce noise. The filter was based on inversion of the scanner's measured transfer function, coupled with high frequency roll-off. In phantom studies, we found improvements in both "hot" and "cold" sphere quantification. Compared with ramp-only filtering, improvements in hot spot recovery for the highest accuracy filter averaged 13.6%±6.6% for spheres larger than 15 mm; improvements in cold spot recovery averaged 30.7%±4.7%. At the same time, the noise was reduced by a factor of 3 compared with ramponly filtering. Fourier-based image restoration filtering is thus capable of improving both accuracy and precision in PET.

Original languageEnglish (US)
Pages (from-to)925-932
Number of pages8
JournalEuropean Journal Of Nuclear Medicine
Volume19
Issue number11
DOIs
StatePublished - Nov 1992

Fingerprint

Positron-Emission Tomography
Noise
Architectural Accessibility

Keywords

  • Fourier filtering
  • only filtering
  • Positron emission tomography
  • Ramp

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Improved positron emission tomography quantification by Fourier-based restoration filtering. / Links, Jonathan M; Leal, Jeffrey Pettit; Mueller-Gaertner, Hans W.; Wagner, Henry N.

In: European Journal Of Nuclear Medicine, Vol. 19, No. 11, 11.1992, p. 925-932.

Research output: Contribution to journalArticle

@article{21f76908831e477988f22c28b789c8b0,
title = "Improved positron emission tomography quantification by Fourier-based restoration filtering",
abstract = "Positron emission tomography (PET) images are characterized by both poor spatial resolution and high statistical noise. Conventional methods to reduce noise, such as local weighted averaging, produce further deteriorations in spatial resolution, while the use of deconvolution to recover resolution typically amplifies noise to unacceptable levels. We studied the use of two-dimensional Fourier filtering to simultaneously increase quantitative recovery and reduce noise. The filter was based on inversion of the scanner's measured transfer function, coupled with high frequency roll-off. In phantom studies, we found improvements in both {"}hot{"} and {"}cold{"} sphere quantification. Compared with ramp-only filtering, improvements in hot spot recovery for the highest accuracy filter averaged 13.6{\%}±6.6{\%} for spheres larger than 15 mm; improvements in cold spot recovery averaged 30.7{\%}±4.7{\%}. At the same time, the noise was reduced by a factor of 3 compared with ramponly filtering. Fourier-based image restoration filtering is thus capable of improving both accuracy and precision in PET.",
keywords = "Fourier filtering, only filtering, Positron emission tomography, Ramp",
author = "Links, {Jonathan M} and Leal, {Jeffrey Pettit} and Mueller-Gaertner, {Hans W.} and Wagner, {Henry N.}",
year = "1992",
month = "11",
doi = "10.1007/BF00175857",
language = "English (US)",
volume = "19",
pages = "925--932",
journal = "European Journal of Nuclear Medicine and Molecular Imaging",
issn = "1619-7070",
publisher = "Springer Verlag",
number = "11",

}

TY - JOUR

T1 - Improved positron emission tomography quantification by Fourier-based restoration filtering

AU - Links, Jonathan M

AU - Leal, Jeffrey Pettit

AU - Mueller-Gaertner, Hans W.

AU - Wagner, Henry N.

PY - 1992/11

Y1 - 1992/11

N2 - Positron emission tomography (PET) images are characterized by both poor spatial resolution and high statistical noise. Conventional methods to reduce noise, such as local weighted averaging, produce further deteriorations in spatial resolution, while the use of deconvolution to recover resolution typically amplifies noise to unacceptable levels. We studied the use of two-dimensional Fourier filtering to simultaneously increase quantitative recovery and reduce noise. The filter was based on inversion of the scanner's measured transfer function, coupled with high frequency roll-off. In phantom studies, we found improvements in both "hot" and "cold" sphere quantification. Compared with ramp-only filtering, improvements in hot spot recovery for the highest accuracy filter averaged 13.6%±6.6% for spheres larger than 15 mm; improvements in cold spot recovery averaged 30.7%±4.7%. At the same time, the noise was reduced by a factor of 3 compared with ramponly filtering. Fourier-based image restoration filtering is thus capable of improving both accuracy and precision in PET.

AB - Positron emission tomography (PET) images are characterized by both poor spatial resolution and high statistical noise. Conventional methods to reduce noise, such as local weighted averaging, produce further deteriorations in spatial resolution, while the use of deconvolution to recover resolution typically amplifies noise to unacceptable levels. We studied the use of two-dimensional Fourier filtering to simultaneously increase quantitative recovery and reduce noise. The filter was based on inversion of the scanner's measured transfer function, coupled with high frequency roll-off. In phantom studies, we found improvements in both "hot" and "cold" sphere quantification. Compared with ramp-only filtering, improvements in hot spot recovery for the highest accuracy filter averaged 13.6%±6.6% for spheres larger than 15 mm; improvements in cold spot recovery averaged 30.7%±4.7%. At the same time, the noise was reduced by a factor of 3 compared with ramponly filtering. Fourier-based image restoration filtering is thus capable of improving both accuracy and precision in PET.

KW - Fourier filtering

KW - only filtering

KW - Positron emission tomography

KW - Ramp

UR - http://www.scopus.com/inward/record.url?scp=0026498346&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026498346&partnerID=8YFLogxK

U2 - 10.1007/BF00175857

DO - 10.1007/BF00175857

M3 - Article

C2 - 1425779

AN - SCOPUS:0026498346

VL - 19

SP - 925

EP - 932

JO - European Journal of Nuclear Medicine and Molecular Imaging

JF - European Journal of Nuclear Medicine and Molecular Imaging

SN - 1619-7070

IS - 11

ER -