Dynamic whole-body PET imaging: principles, potentials and applications

  • Arman RahmimEmail author
  • Martin A. Lodge
  • Nicolas A. Karakatsanis
  • Vladimir Y. Panin
  • Yun Zhou
  • Alan McMillan
  • Steve Cho
  • Habib Zaidi
  • Michael E. Casey
  • Richard L. Wahl
Review Article



In this article, we discuss dynamic whole-body (DWB) positron emission tomography (PET) as an imaging tool with significant clinical potential, in relation to conventional standard uptake value (SUV) imaging.


DWB PET involves dynamic data acquisition over an extended axial range, capturing tracer kinetic information that is not available with conventional static acquisition protocols. The method can be performed within reasonable clinical imaging times, and enables generation of multiple types of PET images with complementary information in a single imaging session. Importantly, DWB PET can be used to produce multi-parametric images of (i) Patlak slope (influx rate) and (ii) intercept (referred to sometimes as “distribution volume”), while also providing (iii) a conventional ‘SUV-equivalent’ image for certain protocols.


We provide an overview of ongoing efforts (primarily focused on FDG PET) and discuss potential clinically relevant applications.


Overall, the framework of DWB imaging [applicable to both PET/CT(computed tomography) and PET/MRI (magnetic resonance imaging)] generates quantitative measures that may add significant value to conventional SUV image-derived measures, with limited pitfalls as we also discuss in this work.


PET Dynamic Whole-body Parametric imaging Kinetic modeling Systemic disease 



This work was in part supported by Siemens Medical Solutions, and by the Swiss National Science Foundation under Grant SNSF 320030_176052. We wish to gratefully acknowledge valuable discussions and/or support from Corina Voicu, Ramya Rajaram, Darrell Burckhardt, Bernard Bendriem, Saeed Ashrafinia, Jeff Leal, Joo O, Fotis Kotasidis, Rathan Subramaniam, Lilja Solnes, Hyungseok Jang, Hyung-Jun Im, Mika Naganawa, Richard Carson, Harvey Ziessman, Albert Gjedde and Simon Cherry.


This study was in part funded by Siemens Medical Solutions, and by the Swiss National Science Foundation under Grant SNSF 320030_176052.

Compliance with ethical standards

Conflict of interest

Authors Arman Rahmim, Nicolas A. Karakatsanis, Habib Zaidi and Richard L. Wahl have received research support from Siemens Medical Solutions, and authors Alan McMillan and Steve Cho have received research support from GE Healthcare. Authors Martin A. Lodge and Yun Zhou declare that they have no conflict of interest. Vladimir Panin and Michael Casey are employees of Siemens Healthineers.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Arman Rahmim
    • 1
    • 2
    Email author
  • Martin A. Lodge
    • 1
  • Nicolas A. Karakatsanis
    • 3
  • Vladimir Y. Panin
    • 4
  • Yun Zhou
    • 1
  • Alan McMillan
    • 5
  • Steve Cho
    • 5
  • Habib Zaidi
    • 6
  • Michael E. Casey
    • 4
  • Richard L. Wahl
    • 7
  1. 1.Department of Radiology and Radiological ScienceJohns Hopkins UniversityBaltimoreUSA
  2. 2.Departments of Radiology and Physics & AstronomyUniversity of British ColumbiaVancouverCanada
  3. 3.Department of RadiologyWeill Cornell Medical CollegeNew YorkUSA
  4. 4.Siemens HealthineersKnoxvilleUSA
  5. 5.Department of RadiologyUniversity of WisconsinMadisonUSA
  6. 6.Division of Nuclear Medicine and Molecular ImagingGeneva University HospitalGenevaSwitzerland
  7. 7.Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisUSA

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