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A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

Authors :
Hamed Moradi
Rajat Vashistha
Kieran O’Brien
Amanda Hammond
Viktor Vegh
David Reutens
Source :
EJNMMI Research, Vol 14, Iss 1, Pp 1-14 (2024)
Publication Year :
2024
Publisher :
SpringerOpen, 2024.

Abstract

Abstract Background In parametric PET, kinetic parameters are extracted from dynamic PET images. It is not commonly used in clinical practice because of long scan times and the requirement for an arterial input function (AIF). To address these limitations, we designed an 18F-fluorodeoxyglucose (18F-FDG) triple injection dynamic PET protocol for brain imaging with a standard field of view PET scanner using a 24-min imaging window and an input function modeled using measurements from a region of interest placed over the left ventricle. Methods To test the protocol in 6 healthy participants, we examined the quality of voxel-based maps of kinetic parameters in the brain generated using the two-tissue compartment model and compared estimated parameter values with previously published values. We also utilized data from a 36-min validation imaging window to compare (1) the modeled AIF against the input function measured in the validation window; and (2) the net influx rate ( $$K_{i}$$ K i ) computed using parameter estimates from the short imaging window against the net influx rate obtained using Patlak analysis in the validation window. Results Compared to the AIF measured in the validation window, the input function estimated from the short imaging window achieved a mean area under the curve error of 9%. The voxel-wise Pearson’s correlation between $$K_{i}$$ K i estimates from the short imaging window and the validation imaging window exceeded 0.95. Conclusion The proposed 24-min triple injection protocol enables parametric 18F-FDG neuroimaging with noninvasive estimation of the AIF from cardiac images using a standard field of view PET scanner.

Details

Language :
English
ISSN :
2191219X
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
EJNMMI Research
Publication Type :
Academic Journal
Accession number :
edsdoj.f174a38162b14c0cb26648edb5eef5e6
Document Type :
article
Full Text :
https://doi.org/10.1186/s13550-023-01061-7