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

Author:

Moradi Hamed1ORCID,Vashistha Rajat1,O'Brien Kieran2,Hammond Amanda2,Vegh Viktor1ORCID,Reutens David1

Affiliation:

1. The University of Queensland Australian Institute for Bioengineering and Nanotechnology

2. Siemens Healthcare Pty Ltd

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 modelled 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 minute validation imaging window to compare 1) the modelled AIF against the input function measured in the validation window; and 2) the net influx rate (\({K}_{i}\)) 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 \({K}_{i}\) 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 non-invasive estimation of the AIF from cardiac images using a standard field of view PET scanner.

Publisher

Research Square Platform LLC

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