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Impact of Time-of-Flight on Respiratory Motion Modelling using Non-Attenuation-Corrected PET

Whitehead, AC; Emond, EC; Efthimiou, N; Akintonde, A; Wollenweber, SW; Stearns, CW; Hutton, BF; ... Thielemans, K; + view all (2020) Impact of Time-of-Flight on Respiratory Motion Modelling using Non-Attenuation-Corrected PET. In: (Proceedings) 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE: Manchester, UK. Green open access

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Abstract

Respiratory motion reduces image quality in Positron Emission Tomography (PET). Unless gated Computed Tomography (CT) or Magnetic Resonance (MR) data are available, motion correction relies on registration of the PET data. To avoid mis-registration due to attenuation mismatches, most existing methods rely on pair-wise registration of Non-Attenuation Corrected (NAC) PET volumes. This is a challenging problem due to the low contrast and high noise of these volumes. This paper investigates the possibility of using motion models for respiratory motion correction in PET, and in particular whether incorporating Time-of-Flight (TOF) information increases the accuracy of the motion models derived from the NAC reconstructed images. 4D Extended Cardiac-Torso (XCAT) phantom simulations are used for one bed position with a field of view including the base of the lungs and the diaphragm. A TOF resolution of 375ps is used. NAC images are reconstructed using Orded SubSet Expectation Maximisation (OSEM) and used as input for motion model estimation. Different motion models are compared using the original XCAT input volumes. The results indicate that TOF improves the accuracy of the motion model considerably.

Type: Proceedings paper
Title: Impact of Time-of-Flight on Respiratory Motion Modelling using Non-Attenuation-Corrected PET
Event: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/NSS/MIC42101.2019.9059812
Publisher version: https://doi.org/10.1109/NSS/MIC42101.2019.9059812
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10100634
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