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Respiratory Motion Correction in Dynamic PET with a Single Attenuation Map

Emond, EC; Bousse, A; MacHado, M; Porter, J; Erlandsson, K; Groves, AM; Hutton, BF; (2019) Respiratory Motion Correction in Dynamic PET with a Single Attenuation Map. In: Proceedings of 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE: Manchester, UK. Green open access

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Abstract

In addition to static tracer uptake values used routinely in clinical facilities, PET imaging can provide useful information on tracer kinetics via the use of dynamic acquisitions where a set of time frames are acquired starting from the injection/inhalation of the radiotracer. In lung studies, kinetic parameters, estimated from compartmental modelling, are however affected by respiratory motion. When only one attenuation image is available, most existing motion compensation strategies are not appropriate for the initial short time frames, especially as the activity distribution changes rapidly over the early part of the dynamic acquisition. This work presents a preliminary study to handle respiratory motion using a two-step process that uses gated dynamic data as input. We first use joint reconstruction of activity and motion on the entire gated PET data to estimate deformation fields. This allows the subsequent reconstruction of each time frame separately with motion compensation. We present results comparing on one hand the compartment model fit residuals with and without respiratory motion compensation and on the other hand the diaphragm position in non-attenuation corrected images and from this method.

Type: Proceedings paper
Title: Respiratory Motion Correction in Dynamic PET with a Single Attenuation Map
Event: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
ISBN-13: 9781728141640
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/NSS/MIC42101.2019.9059813
Publisher version: http://dx.doi.org/10.1109/NSS/MIC42101.2019.905981...
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 > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Respiratory Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10096618
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