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European Journal of Nuclear Medicine and Molecular Imaging
Published in: European Journal of Nuclear Medicine and Molecular Imaging 5/2011

Open Access 01-05-2011 | Original Article

Automatic generation of absolute myocardial blood flow images using [15O]H2O and a clinical PET/CT scanner

Authors: Hendrik J. Harms, Paul Knaapen, Stefan de Haan, Rick Halbmeijer, Adriaan A. Lammertsma, Mark Lubberink

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 5/2011

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Abstract

Purpose

Parametric imaging of absolute myocardial blood flow (MBF) using [15O]H2O enables determination of MBF with high spatial resolution. The aim of this study was to develop a method for generating reproducible, high-quality and quantitative parametric MBF images with minimal user intervention.

Methods

Nineteen patients referred for evaluation of MBF underwent rest and adenosine stress [15O]H2O positron emission tomography (PET) scans. Ascending aorta and right ventricular (RV) cavity volumes of interest (VOIs) were used as input functions. Implementation of a basis function method (BFM) of the single-tissue model with an additional correction for RV spillover was used to generate parametric images. The average segmental MBF derived from parametric images was compared with MBF obtained using nonlinear least-squares regression (NLR) of VOI data. Four segmentation algorithms were evaluated for automatic extraction of input functions. Segmental MBF obtained using these input functions was compared with MBF obtained using manually defined input functions.

Results

The average parametric MBF showed a high agreement with NLR-derived MBF [intraclass correlation coefficient (ICC) = 0.984]. For each segmentation algorithm there was at least one implementation that yielded high agreement (ICC > 0.9) with manually obtained input functions, although MBF calculated using each algorithm was at least 10% higher. Cluster analysis with six clusters yielded the highest agreement (ICC = 0.977), together with good segmentation reproducibility (coefficient of variation of MBF <5%).

Conclusion

Parametric MBF images of diagnostic quality can be generated automatically using cluster analysis and a implementation of a BFM of the single-tissue model with additional RV spillover correction.
Appendix
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Metadata
Title
Automatic generation of absolute myocardial blood flow images using [15O]H2O and a clinical PET/CT scanner
Authors
Hendrik J. Harms
Paul Knaapen
Stefan de Haan
Rick Halbmeijer
Adriaan A. Lammertsma
Mark Lubberink
Publication date
01-05-2011
Publisher
Springer-Verlag
Published in
European Journal of Nuclear Medicine and Molecular Imaging / Issue 5/2011
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-011-1730-3

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