Total-Body Quantitative Parametric Imaging of Early Kinetics of 18F-FDG

Tao Feng, Yizhang Zhao, Hongcheng Shi, Hongdi Li, Xuezhu Zhang, Guobao Wang, Patricia M. Price, Ramsey D Badawi, Simon R. Cherry, Terry Jones

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Parametric imaging has been shown to provide better quantitation physiologically than SUV imaging in PET. With the increased sensitivity from a recently developed total-body PET scanner, whole-body scans with higher temporal resolution become possible for dynamic analysis and parametric imaging. In this paper, we focus on deriving the parameter k1 using compartmental modeling and on developing a method to acquire whole-body 18F-FDG PET parametric images using only the first 90 s of the postinjection scan data with the total-body PET system. Methods: Dynamic projections were acquired with a time interval of 1 s for the first 30 s and a time interval of 2 s for the following minute. Image-derived input functions were acquired from the reconstructed dynamic sequences in the ascending aorta. A 1-tissue-compartment model with 4 parameters (k1, k2, blood fraction, and delay time) was used. A maximum-likelihood-based estimation method was developed with the 1-tissue-compartment model solution. The accuracy of the acquired parameters was compared with the ones estimated using a 2-tissue-compartment irreversible model with 1-h-long data. Results: All 4 parametric images were successfully calculated using data from 2 volunteers. By comparing the time-activity curves acquired from the volumes of interest, we showed that the parameters estimated using our method were able to predict the time-activity curves of the early dynamics of 18F-FDG in different organs. The delay-time effects for different organs were also clearly visible in the reconstructed delay-time image with delay variations of as large as 40 s. The estimated parameters using both 90-s data and 1-h data agreed well for k1 and blood fraction, whereas a large difference in k2 was found between the 90-s and 1-h data, suggesting k2 cannot be reliably estimated from the 90-s scan. Conclusion: We have shown that with total-body PET and the increased sensitivity, it is possible to estimate parametric images based on the very early dynamics after 18F-FDG injection. The estimated k1 might potentially be used clinically as an indicator for identifying abnormalities.

Original languageEnglish (US)
Pages (from-to)738-744
Number of pages7
JournalJournal of nuclear medicine : official publication, Society of Nuclear Medicine
Volume62
Issue number5
DOIs
StatePublished - May 10 2021

Keywords

  • compartment model
  • early dynamic
  • parametric imaging
  • total-body PET

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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