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Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters
BACKGROUND: Our aim was to characterize the influence of time-of-flight (TOF) and point spread function (PSF) recovery corrections, as well as ordered subset expectation maximization (OSEM) reconstruction parameters, in (82)Rb PET/CT quantification of myocardial blood flow (MBF) and myocardial flow...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5311016/ https://www.ncbi.nlm.nih.gov/pubmed/28205113 http://dx.doi.org/10.1186/s40658-017-0178-3 |
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author | Chilra, P. Gnesin, S. Allenbach, G. Monteiro, M. Prior, J. O. Vieira, L. Pires Jorge, J. A. |
author_facet | Chilra, P. Gnesin, S. Allenbach, G. Monteiro, M. Prior, J. O. Vieira, L. Pires Jorge, J. A. |
author_sort | Chilra, P. |
collection | PubMed |
description | BACKGROUND: Our aim was to characterize the influence of time-of-flight (TOF) and point spread function (PSF) recovery corrections, as well as ordered subset expectation maximization (OSEM) reconstruction parameters, in (82)Rb PET/CT quantification of myocardial blood flow (MBF) and myocardial flow reserve (MFR). Rest and stress list-mode dynamic (82)Rb PET acquisition data from 10 patients without myocardial flow defects and 10 patients with myocardial blood flow defects were reconstructed retrospectively. OSEM reconstructions were performed with Gaussian filters of 4, 6, and 8 mm, different iterations, and subset numbers (2 × 24; 2 × 16; 3 × 16; 4 × 16). Rest and stress global, regional, and segmental MBF and MFR were computed from time activity curves with FlowQuant(©) software. Left ventricular segmentation using the 17-segment American Heart Association model was obtained. RESULTS: Whole left ventricle (LV) MBF at rest and stress were 0.97 ± 0.30 and 2.30 ± 1.00 mL/min/g, respectively, and MFR was 2.40 ± 1.13. Concordance was excellent and all reconstruction parameters had no significant impact on MBF, except for the exclusion of TOF which led to significantly decreased concordance in rest and stress MBF in patients with or without perfusion defects on a coronary artery basis and in MFR in patients with perfusion defects. CONCLUSIONS: Changes in reconstruction parameters in perfusion (82)Rb PET/CT studies influence quantitative MBF analysis. The inclusion of TOF information in the tomographic reconstructions had significant impact in MBF quantification. |
format | Online Article Text |
id | pubmed-5311016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-53110162017-03-02 Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters Chilra, P. Gnesin, S. Allenbach, G. Monteiro, M. Prior, J. O. Vieira, L. Pires Jorge, J. A. EJNMMI Phys Original Research BACKGROUND: Our aim was to characterize the influence of time-of-flight (TOF) and point spread function (PSF) recovery corrections, as well as ordered subset expectation maximization (OSEM) reconstruction parameters, in (82)Rb PET/CT quantification of myocardial blood flow (MBF) and myocardial flow reserve (MFR). Rest and stress list-mode dynamic (82)Rb PET acquisition data from 10 patients without myocardial flow defects and 10 patients with myocardial blood flow defects were reconstructed retrospectively. OSEM reconstructions were performed with Gaussian filters of 4, 6, and 8 mm, different iterations, and subset numbers (2 × 24; 2 × 16; 3 × 16; 4 × 16). Rest and stress global, regional, and segmental MBF and MFR were computed from time activity curves with FlowQuant(©) software. Left ventricular segmentation using the 17-segment American Heart Association model was obtained. RESULTS: Whole left ventricle (LV) MBF at rest and stress were 0.97 ± 0.30 and 2.30 ± 1.00 mL/min/g, respectively, and MFR was 2.40 ± 1.13. Concordance was excellent and all reconstruction parameters had no significant impact on MBF, except for the exclusion of TOF which led to significantly decreased concordance in rest and stress MBF in patients with or without perfusion defects on a coronary artery basis and in MFR in patients with perfusion defects. CONCLUSIONS: Changes in reconstruction parameters in perfusion (82)Rb PET/CT studies influence quantitative MBF analysis. The inclusion of TOF information in the tomographic reconstructions had significant impact in MBF quantification. Springer International Publishing 2017-02-15 /pmc/articles/PMC5311016/ /pubmed/28205113 http://dx.doi.org/10.1186/s40658-017-0178-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Chilra, P. Gnesin, S. Allenbach, G. Monteiro, M. Prior, J. O. Vieira, L. Pires Jorge, J. A. Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title | Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title_full | Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title_fullStr | Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title_full_unstemmed | Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title_short | Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title_sort | cardiac pet/ct with rb-82: optimization of image acquisition and reconstruction parameters |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5311016/ https://www.ncbi.nlm.nih.gov/pubmed/28205113 http://dx.doi.org/10.1186/s40658-017-0178-3 |
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