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1000 Titel
  • Hybrid total-body pet scanners—current status and future perspectives
1000 Autor/in
  1. Nadig, Vanessa |
  2. Herrmann, Ken |
  3. Mottaghy, Felix |
  4. Schulz, Volkmar |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-10-14
1000 Erschienen in
1000 Quellenangabe
  • 49(2):445-459
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00259-021-05536-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803785/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Purpose Since the 1990s, PET has been successfully combined with MR or CT systems. In the past years, especially PET systems have seen a trend towards an enlarged axial field of view (FOV), up to a factor of ten. Methods Conducting a thorough literature research, we summarize the status quo of contemporary total-body (TB) PET/CT scanners and give an outlook on possible future developments. Results Currently, three human TB PET/CT systems have been developed: The PennPET Explorer, the uExplorer, and the Biograph Vision Quadra realize aFOVs between 1 and 2 m and show a tremendous increase in system sensitivity related to their longer gantries. Conclusion The increased system sensitivity paves the way for short-term, low-dose, and dynamic TB imaging as well as new examination methods in almost all areas of imaging.
1000 Sacherschließung
lokal CT
lokal Positron-Emission Tomography/methods [MeSH]
lokal Technology
lokal Long axial FOV
lokal Humans [MeSH]
lokal Sensitivity
lokal Positron Emission Tomography Computed Tomography [MeSH]
lokal Review Article
lokal MRI
lokal Total-body
lokal PET
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-1566-0568|https://orcid.org/0000-0002-9662-7259|https://orcid.org/0000-0002-7212-6521|https://orcid.org/0000-0003-1341-9356
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  • DeepGreen-ID: 535594c17336414f852f6e05d6413ba4 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-05-11T13:39:55.953+0200
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1000 Zuletzt bearbeitet Tue Oct 24 07:36:43 CEST 2023
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