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

Arman Rahmim, Martin A. Lodge, Nicolas A. Karakatsanis, Vladimir Y. Panin, Yun Zhou, Alan McMillan, Steve Cho, Habib Zaidi, Michael E. Casey, Richard L. Wahl

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations

Abstract

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

Original languageEnglish
Pages (from-to)501-518
Number of pages18
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
Volume46
Issue number2
DOIs
StatePublished - Feb 1 2019

Keywords

  • Dynamic
  • Kinetic modeling
  • PET
  • Parametric imaging
  • Systemic disease
  • Whole-body

Fingerprint Dive into the research topics of 'Dynamic whole-body PET imaging: principles, potentials and applications'. Together they form a unique fingerprint.

Cite this