Data-driven gating in PET: Influence of respiratory signal noise on motion resolution

Medical Physics
F BütherLars Stegger

Abstract

Data-driven gating (DDG) approaches for positron emission tomography (PET) are interesting alternatives to conventional hardware-based gating methods. In DDG, the measured PET data themselves are utilized to calculate a respiratory signal, that is, subsequently used for gating purposes. The success of gating is then highly dependent on the statistical quality of the PET data. In this study, we investigate how this quality determines signal noise and thus motion resolution in clinical PET scans using a center-of-mass-based (COM) DDG approach, specifically with regard to motion management of target structures in future radiotherapy planning applications. PET list mode datasets acquired in one bed position of 19 different radiotherapy patients undergoing pretreatment [18 F]FDG PET/CT or [18 F]FDG PET/MRI were included into this retrospective study. All scans were performed over a region with organs (myocardium, kidneys) or tumor lesions of high tracer uptake and under free breathing. Aside from the original list mode data, datasets with progressively decreasing PET statistics were generated. From these, COM DDG signals were derived for subsequent amplitude-based gating of the original list mode file. The apparent respiratory shift...Continue Reading

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Citations

Sep 12, 2019·Medical Physics·Tao SunJinsong Ouyang
Jan 5, 2019·EJNMMI Research·Matthew D WalkerDaniel R McGowan
Jan 11, 2019·EJNMMI Physics·Adam KesnerClaudia Kuntner
Mar 19, 2020·Current Radiopharmaceuticals·Angelina FiliceAnnibale Versari
Aug 27, 2021·EJNMMI Physics·Eve LennieSteven Sourbron

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