Quantitative Analysis of Heterogeneous [18F]FDG Static (SUV) vs. Patlak (Ki) Whole-body PET Imaging Using Different Segmentation Methods: a Simulation Study

Zhuang, Mingzan; Karakatsanis, Nicolas A; Dierckx, Rudi A J O; Zaidi, Habib

doi:10.1007/s11307-018-1241-8

Scientific article

English

Quantitative Analysis of Heterogeneous [18F]FDG Static (SUV) vs. Patlak (Ki) Whole-body PET Imaging Using Different Segmentation Methods: a Simulation Study

ContributorsZhuang, Mingzan; Karakatsanis, Nicolas A; Dierckx, Rudi A J O; Zaidi, Habib

Published inMolecular Imaging and Biology, vol. 21, no. 2, p. 317-327

Publication date2019

Abstract

Whole-body (WB) dynamic positron emission tomography (PET) enables imaging of highly quantitative physiological uptake parameters beyond the standardized uptake value (SUV). We present a novel dynamic WB anthropomorphic PET simulation framework to assess the potential of 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) net uptake rate constant (Ki) imaging in characterizing tumor heterogeneity.

Keywords

Heterogeneity
PET
Parametric imaging
Segmentation
Whole-body

NoteMerci de mettre à jour également le fichier pdf disponible sur:http://www.hcuge.ch/~pinlab/pdf/MIB2019.pdf

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale

Research groups

Imagerie Médicale (TEP et TEMP) (542)

Funding

Swiss National Science Foundation - SNRF 320030_176052

Citation (ISO format)

ZHUANG, Mingzan et al. Quantitative Analysis of Heterogeneous [18F]FDG Static (SUV) vs. Patlak (Ki) Whole-body PET Imaging Using Different Segmentation Methods: a Simulation Study. In: Molecular Imaging and Biology, 2019, vol. 21, n° 2, p. 317–327. doi: 10.1007/s11307-018-1241-8

Article (Published version)

Identifiers

PID : unige:108513
DOI : 10.1007/s11307-018-1241-8
PMID : 29956119

Additional URL for this publicationhttp://www.hcuge.ch/~pinlab/pdf/MIB2019.pdf

Journal ISSN1536-1632

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Quantitative Analysis of Heterogeneous [18F]FDG Static (SUV) vs. Patlak (Ki) Whole-body PET Imaging Using Different Segmentation Methods: a Simulation Study

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