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Mass Preservation for Respiratory Motion Registration in both PET and CT

Emond, EC; Bousse, A; Brusaferri, L; Groves, AM; Hutton, BF; Thielemans, K; (2020) Mass Preservation for Respiratory Motion Registration in both PET and CT. In: Proceedings of the 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE: Manchester, UK. Green open access

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Abstract

Registration of medical images corresponding to different respiratory states is complicated, as respiration not only moves the lungs and nearby organs, but it also causes localised density and radiotracer activity concentration changes of up to 20% in the lung. Nevertheless, few registration methods incorporate mass-preserving constraints, which could lead to suboptimal estimation of the deformation. This is especially important in the case of diffuse lung diseases for which the deformation field could provide biomarkers for pulmonary mechanical properties. This preliminary work is aimed at evaluating the impact of lung expansion in CT and PET image registration. We use patient data for which gated CT and PET acquisition data are available. We compare results of mass-preserving registration with two novel priors on the Jacobian determinant of the deformation field. Best results were observed for edge-preserving regularisation, where the mean errors in the lungs are decreased (−17.0% for CT and −4.8% for regularised PET using average regularisation), compared to warped images with no mass preservation.

Type: Proceedings paper
Title: Mass Preservation for Respiratory Motion Registration in both PET and CT
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/MIC42101.2019.9059628
Publisher version: https://doi.org/10.1109/NSS/MIC42101.2019.9059628
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.
Keywords: Jacobian matrices, Lung, Logic gates, Strain, Image reconstruction, Computed tomography, Positron emission tomography
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 > Experimental and Translational Medicine
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
URI: https://discovery.ucl.ac.uk/id/eprint/10098072
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