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

Jochimsen, T. H., Zeisig, V., Schulz, J., Werner, P., Patt, M., Patt, J., et al. (2016). Fully automated calculation of image-derived input function in simultaneous PET/MRI in a sheep model. EJNMMI Physics, 3: 2. doi:10.1186/s40658-016-0139-2.

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 Urheber:
Jochimsen, Thies H.1, Autor
Zeisig, Vilia1, Autor
Schulz, Jessica2, Autor           
Werner, Peter1, Autor
Patt, Marianne1, Autor
Patt, Jörg1, Autor
Dreyer, Antje Y.3, 4, Autor
Boltze, Johannes3, 4, 5, Autor
Barthel, Henryk1, Autor
Sabri, Osama1, Autor
Sattler, Bernhard1, Autor
Affiliations:
1Department of Nuclear Medicine, University of Leipzig, Germany, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2205649              
3Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany, ou_persistent22              
4Translational Centre for Regenerative Medicine (TRM), University of Leipzig, Germany, ou_persistent22              
5Fraunhofer Institute for Marine Biotechnology, Lübeck, Germany, ou_persistent22              

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Schlagwörter: PET/MRI; Arterial input function; Image-derived input function; Angiography
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2015-10-012016-01-292016-02-13
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1186/s40658-016-0139-2
PMID: 26872658
PMC: PMC4752572
Anderer: Epub 2016
 Art des Abschluß: -

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Titel: EJNMMI Physics
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Berlin, Germany : Springer
Seiten: - Band / Heft: 3 Artikelnummer: 2 Start- / Endseite: - Identifikator: ISSN: 2197-7364
CoNE: https://pure.mpg.de/cone/journals/resource/2197-7364