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

TitleDynamic whole-body PET imaging: principles, potentials and applications.
Publication TypeJournal Article
Year of Publication2019
AuthorsRahmim A, Lodge MA, Karakatsanis NA, Panin VY, Zhou Y, McMillan A, Cho S, Zaidi H, Casey ME, Wahl RL
JournalEur J Nucl Med Mol Imaging
Volume46
Issue2
Pagination501-518
Date Published2019 02
ISSN1619-7089
KeywordsHumans, Image Processing, Computer-Assisted, Positron-Emission Tomography, Signal-To-Noise Ratio, Whole Body Imaging
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.

DOI10.1007/s00259-018-4153-6
Alternate JournalEur J Nucl Med Mol Imaging
PubMed ID30269154
Grant ListSNSF 320030_176052 / / Swiss National Science Foundation / Switzerland

Weill Cornell Medicine
Department of Radiology
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