Comparison of Different Methods for Data-driven Respiratory Gating of PET Data

Kris Thielemans, Paul Schleyer, Paul Marsden, Ravindra Manjeshwar, S D Wollenweber, Alexander Ganin

Research output: Chapter in Book/Report/Conference proceedingConference paper

29 Citations (Scopus)

Abstract

Respiratory movement degrades image quality in PET/CT. The first step in correcting for movement is to gate the data into different motion states. In current practice, the gating is based on information from external devices that measure physical parameters such as the chest position. Various groups have proposed methods to extract a gating signal out of the PET data. Here we compare methods using PCA, Laplacian Eigenmaps, Spectral Analysis and sensitivity. We test the methods on clinical PET list mode data for different tracers. We evaluate correlation with the chest position as measured by the Varian RPM system, and stability under increased noise in the PET data, both by reducing counts and reducing total duration. We also compare SUVmax and lesion displacement when gating the PET data based on the signals extracted by the different methods.
Original languageEnglish
Title of host publication2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
PublisherIEEE
Number of pages4
ISBN (Print)9781479905331
DOIs
Publication statusPublished - 2013

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