PET kinetic analysis - Pitfalls and a solution for the Logan plot

Yuichi Kimura; Mika Naganawa; Miho Shidahara; Yoko Ikoma; Hiroshi Watabe

doi:10.1007/BF03033993

PET kinetic analysis - Pitfalls and a solution for the Logan plot

Yuichi Kimura, Mika Naganawa, Miho Shidahara, Yoko Ikoma, Hiroshi Watabe

Research output: Contribution to journal › Review article › peer-review

34 Citations (Scopus)

Abstract

The Logan plot is a widely used algorithm for the quantitative analysis of neuroreceptors using PET because it is easy to use and simple to implement. The Logan plot is also suitable for receptor imaging because its algorithm is fast. However, use of the Logan plot, and interpretation of the formed receptor images should be regarded with caution, because noise in PET data causes bias in the Logan plot estimates. In this paper, we describe the basic concept of the Logan plot in detail and introduce three algorithms for the Logan plot. By comparing these algorithms, we demonstrate the pitfalls of the Logan plot and discuss the solution.

Original language	English
Pages (from-to)	1-8
Number of pages	8
Journal	Annals of Nuclear Medicine
Volume	21
Issue number	1
DOIs	https://doi.org/10.1007/BF03033993
Publication status	Published - 2007

Keywords

Kinetic analysis
Logan plot
PET
Receptor imaging

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10.1007/BF03033993

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abstract = "The Logan plot is a widely used algorithm for the quantitative analysis of neuroreceptors using PET because it is easy to use and simple to implement. The Logan plot is also suitable for receptor imaging because its algorithm is fast. However, use of the Logan plot, and interpretation of the formed receptor images should be regarded with caution, because noise in PET data causes bias in the Logan plot estimates. In this paper, we describe the basic concept of the Logan plot in detail and introduce three algorithms for the Logan plot. By comparing these algorithms, we demonstrate the pitfalls of the Logan plot and discuss the solution.",

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AU - Watabe, Hiroshi

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N2 - The Logan plot is a widely used algorithm for the quantitative analysis of neuroreceptors using PET because it is easy to use and simple to implement. The Logan plot is also suitable for receptor imaging because its algorithm is fast. However, use of the Logan plot, and interpretation of the formed receptor images should be regarded with caution, because noise in PET data causes bias in the Logan plot estimates. In this paper, we describe the basic concept of the Logan plot in detail and introduce three algorithms for the Logan plot. By comparing these algorithms, we demonstrate the pitfalls of the Logan plot and discuss the solution.

AB - The Logan plot is a widely used algorithm for the quantitative analysis of neuroreceptors using PET because it is easy to use and simple to implement. The Logan plot is also suitable for receptor imaging because its algorithm is fast. However, use of the Logan plot, and interpretation of the formed receptor images should be regarded with caution, because noise in PET data causes bias in the Logan plot estimates. In this paper, we describe the basic concept of the Logan plot in detail and introduce three algorithms for the Logan plot. By comparing these algorithms, we demonstrate the pitfalls of the Logan plot and discuss the solution.

KW - Kinetic analysis

KW - Logan plot

KW - PET

KW - Receptor imaging

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PET kinetic analysis - Pitfalls and a solution for the Logan plot

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Keywords

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