Whole-body direct 4D parametric PET imaging employing nested generalized Patlak expectation–maximization reconstruction

Nicolas A Karakatsanis, Michael E Casey, Martin A Lodge, Arman Rahmim, Habib Zaidi
2016 Physics in Medicine and Biology  
Whole-body (WB) dynamic PET has recently demonstrated its potential in translating the quantitative benefits of parametric imaging to the clinic. Post-reconstruction standard Patlak (sPatlak) WB graphical analysis utilizes multi-bed multi-pass PET acquisition to produce quantitative WB images of the tracer influx rate K i as a complimentary metric to the semi-quantitative standardized uptake value (SUV). The resulting K i images may suffer from high noise due to the need for short acquisition
more » ... ames. Meanwhile, a generalized Patlak (gPatlak) WB post-reconstruction method had been suggested to limit K i bias of sPatlak analysis at regions with non-negligible 18 F-FDG uptake reversibility; however, gPatlak analysis is non-linear and thus can further amplify noise. In the present study, we implemented, within the open-source software for tomographic image reconstruction platform, a clinically adoptable 4D WB reconstruction framework enabling efficient estimation of sPatlak and gPatlak images directly from dynamic multi-bed PET raw data with substantial noise reduction. Furthermore, we employed
doi:10.1088/0031-9155/61/15/5456 pmid:27383991 pmcid:PMC5884686 fatcat:xd42t4yxbfdepcixkmjw4qd4fe