@article{cce8db2649c54b0b9b7df834d0c8233c,
title = "Dynamic whole-body PET imaging: principles, potentials and applications",
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 {\textquoteleft}SUV-equivalent{\textquoteright} 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.",
keywords = "Dynamic, Kinetic modeling, PET, Parametric imaging, Systemic disease, Whole-body",
author = "Arman Rahmim and Lodge, {Martin A.} and Karakatsanis, {Nicolas A.} and Panin, {Vladimir Y.} and Yun Zhou and Alan McMillan and Steve Cho and Habib Zaidi and Casey, {Michael E.} and Wahl, {Richard L.}",
note = "Funding Information: 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. Funding Information: Funding This study was in part funded by Siemens Medical Solutions, and by the Swiss National Science Foundation under Grant SNSF 320030_176052. Funding Information: Acknowledgements 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. Publisher Copyright: {\textcopyright} 2018, Springer-Verlag GmbH Germany, part of Springer Nature.",
year = "2019",
month = feb,
day = "1",
doi = "10.1007/s00259-018-4153-6",
language = "English (US)",
volume = "46",
pages = "501--518",
journal = "European Journal of Nuclear Medicine and Molecular Imaging",
issn = "1619-7070",
publisher = "Springer Verlag",
number = "2",
}