A correction algorithm for partial volume effects in 3D PET imaging: Principle and validation

A. Reilhac; O. G. Rousset; C. Comtat; V. Frouin; M. C. Gregoire; A. C. Evans

A correction algorithm for partial volume effects in 3D PET imaging: Principle and validation

A. Reilhac, O. G. Rousset, C. Comtat, V. Frouin, M. C. Gregoire, A. C. Evans

School of Medicine

Research output: Contribution to conference › Paper › peer-review

7 Scopus citations

Abstract

We present a method for correcting 3D PET data for Partial Volume Effects. Our method assumes that the observed signal within a region of interest is a weighted sum of the true activities in the FOV of the scanner. The weighting coefficients represent the recovery and the cross-contamination factors between structures, and are estimated by 3D analytical simulation of a high resolution emitting model, such as a MRI segmented volume registered with the corresponding PET volume. The validation of the algorithm using well-controlled data sets, proved its efficiency to recover true time-activity curves in small structures, with errors smaller than 5%.

Original language	English (US)
Pages	18/62-18/66
State	Published - 2000
Event	2000 IEEE Nuclear Science Symposium Conference Record - Lyon, France Duration: Oct 15 2000 → Oct 20 2000

Other

Other	2000 IEEE Nuclear Science Symposium Conference Record
Country/Territory	France
City	Lyon
Period	10/15/00 → 10/20/00

ASJC Scopus subject areas

Radiation
Nuclear and High Energy Physics
Radiology Nuclear Medicine and imaging

Cite this

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title = "A correction algorithm for partial volume effects in 3D PET imaging: Principle and validation",

abstract = "We present a method for correcting 3D PET data for Partial Volume Effects. Our method assumes that the observed signal within a region of interest is a weighted sum of the true activities in the FOV of the scanner. The weighting coefficients represent the recovery and the cross-contamination factors between structures, and are estimated by 3D analytical simulation of a high resolution emitting model, such as a MRI segmented volume registered with the corresponding PET volume. The validation of the algorithm using well-controlled data sets, proved its efficiency to recover true time-activity curves in small structures, with errors smaller than 5%.",

author = "A. Reilhac and Rousset, {O. G.} and C. Comtat and V. Frouin and Gregoire, {M. C.} and Evans, {A. C.}",

year = "2000",

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T1 - A correction algorithm for partial volume effects in 3D PET imaging

T2 - 2000 IEEE Nuclear Science Symposium Conference Record

AU - Reilhac, A.

AU - Rousset, O. G.

AU - Comtat, C.

AU - Frouin, V.

AU - Gregoire, M. C.

AU - Evans, A. C.

PY - 2000

Y1 - 2000

N2 - We present a method for correcting 3D PET data for Partial Volume Effects. Our method assumes that the observed signal within a region of interest is a weighted sum of the true activities in the FOV of the scanner. The weighting coefficients represent the recovery and the cross-contamination factors between structures, and are estimated by 3D analytical simulation of a high resolution emitting model, such as a MRI segmented volume registered with the corresponding PET volume. The validation of the algorithm using well-controlled data sets, proved its efficiency to recover true time-activity curves in small structures, with errors smaller than 5%.

AB - We present a method for correcting 3D PET data for Partial Volume Effects. Our method assumes that the observed signal within a region of interest is a weighted sum of the true activities in the FOV of the scanner. The weighting coefficients represent the recovery and the cross-contamination factors between structures, and are estimated by 3D analytical simulation of a high resolution emitting model, such as a MRI segmented volume registered with the corresponding PET volume. The validation of the algorithm using well-controlled data sets, proved its efficiency to recover true time-activity curves in small structures, with errors smaller than 5%.

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M3 - Paper

AN - SCOPUS:0034593585

SP - 18/62-18/66

Y2 - 15 October 2000 through 20 October 2000

ER -

A correction algorithm for partial volume effects in 3D PET imaging: Principle and validation

Abstract

Other

ASJC Scopus subject areas

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