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Automatic generation of absolute myocardial blood flow images using [(15)O]H(2)O and a clinical PET/CT scanner

PURPOSE: Parametric imaging of absolute myocardial blood flow (MBF) using [(15)O]H(2)O 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 intervent...

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Autores principales: Harms, Hendrik J., Knaapen, Paul, de Haan, Stefan, Halbmeijer, Rick, Lammertsma, Adriaan A., Lubberink, Mark
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070081/
https://www.ncbi.nlm.nih.gov/pubmed/21271246
http://dx.doi.org/10.1007/s00259-011-1730-3
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author Harms, Hendrik J.
Knaapen, Paul
de Haan, Stefan
Halbmeijer, Rick
Lammertsma, Adriaan A.
Lubberink, Mark
author_facet Harms, Hendrik J.
Knaapen, Paul
de Haan, Stefan
Halbmeijer, Rick
Lammertsma, Adriaan A.
Lubberink, Mark
author_sort Harms, Hendrik J.
collection PubMed
description PURPOSE: Parametric imaging of absolute myocardial blood flow (MBF) using [(15)O]H(2)O 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 [(15)O]H(2)O 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00259-011-1730-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-30700812011-05-02 Automatic generation of absolute myocardial blood flow images using [(15)O]H(2)O and a clinical PET/CT scanner Harms, Hendrik J. Knaapen, Paul de Haan, Stefan Halbmeijer, Rick Lammertsma, Adriaan A. Lubberink, Mark Eur J Nucl Med Mol Imaging Original Article PURPOSE: Parametric imaging of absolute myocardial blood flow (MBF) using [(15)O]H(2)O 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 [(15)O]H(2)O 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00259-011-1730-3) contains supplementary material, which is available to authorized users. Springer-Verlag 2011-01-27 2011 /pmc/articles/PMC3070081/ /pubmed/21271246 http://dx.doi.org/10.1007/s00259-011-1730-3 Text en © The Author(s) 2011 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Original Article
Harms, Hendrik J.
Knaapen, Paul
de Haan, Stefan
Halbmeijer, Rick
Lammertsma, Adriaan A.
Lubberink, Mark
Automatic generation of absolute myocardial blood flow images using [(15)O]H(2)O and a clinical PET/CT scanner
title Automatic generation of absolute myocardial blood flow images using [(15)O]H(2)O and a clinical PET/CT scanner
title_full Automatic generation of absolute myocardial blood flow images using [(15)O]H(2)O and a clinical PET/CT scanner
title_fullStr Automatic generation of absolute myocardial blood flow images using [(15)O]H(2)O and a clinical PET/CT scanner
title_full_unstemmed Automatic generation of absolute myocardial blood flow images using [(15)O]H(2)O and a clinical PET/CT scanner
title_short Automatic generation of absolute myocardial blood flow images using [(15)O]H(2)O and a clinical PET/CT scanner
title_sort automatic generation of absolute myocardial blood flow images using [(15)o]h(2)o and a clinical pet/ct scanner
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070081/
https://www.ncbi.nlm.nih.gov/pubmed/21271246
http://dx.doi.org/10.1007/s00259-011-1730-3
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