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Fully automated calculation of image-derived input function in simultaneous PET/MRI in a sheep model

BACKGROUND: Obtaining the arterial input function (AIF) from image data in dynamic positron emission tomography (PET) examinations is a non-invasive alternative to arterial blood sampling. In simultaneous PET/magnetic resonance imaging (PET/MRI), high-resolution MRI angiographies can be used to defi...

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Autores principales: Jochimsen, Thies H., Zeisig, Vilia, Schulz, Jessica, Werner, Peter, Patt, Marianne, Patt, Jörg, Dreyer, Antje Y., Boltze, Johannes, Barthel, Henryk, Sabri, Osama, Sattler, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4752572/
https://www.ncbi.nlm.nih.gov/pubmed/26872658
http://dx.doi.org/10.1186/s40658-016-0139-2
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author Jochimsen, Thies H.
Zeisig, Vilia
Schulz, Jessica
Werner, Peter
Patt, Marianne
Patt, Jörg
Dreyer, Antje Y.
Boltze, Johannes
Barthel, Henryk
Sabri, Osama
Sattler, Bernhard
author_facet Jochimsen, Thies H.
Zeisig, Vilia
Schulz, Jessica
Werner, Peter
Patt, Marianne
Patt, Jörg
Dreyer, Antje Y.
Boltze, Johannes
Barthel, Henryk
Sabri, Osama
Sattler, Bernhard
author_sort Jochimsen, Thies H.
collection PubMed
description BACKGROUND: Obtaining the arterial input function (AIF) from image data in dynamic positron emission tomography (PET) examinations is a non-invasive alternative to arterial blood sampling. In simultaneous PET/magnetic resonance imaging (PET/MRI), high-resolution MRI angiographies can be used to define major arteries for correction of partial-volume effects (PVE) and point spread function (PSF) response in the PET data. The present study describes a fully automated method to obtain the image-derived input function (IDIF) in PET/MRI. Results are compared to those obtained by arterial blood sampling. METHODS: To segment the trunk of the major arteries in the neck, a high-resolution time-of-flight MRI angiography was postprocessed by a vessel-enhancement filter based on the inertia tensor. Together with the measured PSF of the PET subsystem, the arterial mask was used for geometrical deconvolution, yielding the time-resolved activity concentration averaged over a major artery. The method was compared to manual arterial blood sampling at the hind leg of 21 sheep (animal stroke model) during measurement of blood flow with O15-water. Absolute quantification of activity concentration was compared after bolus passage during steady state, i.e., between 2.5- and 5-min post injection. Cerebral blood flow (CBF) values from blood sampling and IDIF were also compared. RESULTS: The cross-calibration factor obtained by comparing activity concentrations in blood samples and IDIF during steady state is 0.98 ± 0.10. In all examinations, the IDIF provided a much earlier and sharper bolus peak than in the time course of activity concentration obtained by arterial blood sampling. CBF using the IDIF was 22 % higher than CBF obtained by using the AIF yielded by blood sampling. CONCLUSIONS: The small deviation between arterial blood sampling and IDIF during steady state indicates that correction of PVE and PSF is possible with the method presented. The differences in bolus dynamics and, hence, CBF values can be explained by the different sampling locations (hind leg vs. major neck arteries) with differences in delay/dispersion. It will be the topic of further work to test the method on humans with the perspective of replacing invasive blood sampling by an IDIF using simultaneous PET/MRI.
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spelling pubmed-47525722016-02-22 Fully automated calculation of image-derived input function in simultaneous PET/MRI in a sheep model Jochimsen, Thies H. Zeisig, Vilia Schulz, Jessica Werner, Peter Patt, Marianne Patt, Jörg Dreyer, Antje Y. Boltze, Johannes Barthel, Henryk Sabri, Osama Sattler, Bernhard EJNMMI Phys Original Research BACKGROUND: Obtaining the arterial input function (AIF) from image data in dynamic positron emission tomography (PET) examinations is a non-invasive alternative to arterial blood sampling. In simultaneous PET/magnetic resonance imaging (PET/MRI), high-resolution MRI angiographies can be used to define major arteries for correction of partial-volume effects (PVE) and point spread function (PSF) response in the PET data. The present study describes a fully automated method to obtain the image-derived input function (IDIF) in PET/MRI. Results are compared to those obtained by arterial blood sampling. METHODS: To segment the trunk of the major arteries in the neck, a high-resolution time-of-flight MRI angiography was postprocessed by a vessel-enhancement filter based on the inertia tensor. Together with the measured PSF of the PET subsystem, the arterial mask was used for geometrical deconvolution, yielding the time-resolved activity concentration averaged over a major artery. The method was compared to manual arterial blood sampling at the hind leg of 21 sheep (animal stroke model) during measurement of blood flow with O15-water. Absolute quantification of activity concentration was compared after bolus passage during steady state, i.e., between 2.5- and 5-min post injection. Cerebral blood flow (CBF) values from blood sampling and IDIF were also compared. RESULTS: The cross-calibration factor obtained by comparing activity concentrations in blood samples and IDIF during steady state is 0.98 ± 0.10. In all examinations, the IDIF provided a much earlier and sharper bolus peak than in the time course of activity concentration obtained by arterial blood sampling. CBF using the IDIF was 22 % higher than CBF obtained by using the AIF yielded by blood sampling. CONCLUSIONS: The small deviation between arterial blood sampling and IDIF during steady state indicates that correction of PVE and PSF is possible with the method presented. The differences in bolus dynamics and, hence, CBF values can be explained by the different sampling locations (hind leg vs. major neck arteries) with differences in delay/dispersion. It will be the topic of further work to test the method on humans with the perspective of replacing invasive blood sampling by an IDIF using simultaneous PET/MRI. Springer International Publishing 2016-02-13 /pmc/articles/PMC4752572/ /pubmed/26872658 http://dx.doi.org/10.1186/s40658-016-0139-2 Text en © Jochimsen et al. 2016 Open Access This 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
Jochimsen, Thies H.
Zeisig, Vilia
Schulz, Jessica
Werner, Peter
Patt, Marianne
Patt, Jörg
Dreyer, Antje Y.
Boltze, Johannes
Barthel, Henryk
Sabri, Osama
Sattler, Bernhard
Fully automated calculation of image-derived input function in simultaneous PET/MRI in a sheep model
title Fully automated calculation of image-derived input function in simultaneous PET/MRI in a sheep model
title_full Fully automated calculation of image-derived input function in simultaneous PET/MRI in a sheep model
title_fullStr Fully automated calculation of image-derived input function in simultaneous PET/MRI in a sheep model
title_full_unstemmed Fully automated calculation of image-derived input function in simultaneous PET/MRI in a sheep model
title_short Fully automated calculation of image-derived input function in simultaneous PET/MRI in a sheep model
title_sort fully automated calculation of image-derived input function in simultaneous pet/mri in a sheep model
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4752572/
https://www.ncbi.nlm.nih.gov/pubmed/26872658
http://dx.doi.org/10.1186/s40658-016-0139-2
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