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Joint reconstruction of activity and attenuation in non-TOF PET using a synergistic prior to enforce structural similarities

Brusaferri, L; Emond, EC; Atkinson, D; Ourselin, S; Hutton, BF; Arridge, S; Thielemans, K; (2020) Joint reconstruction of activity and attenuation in non-TOF PET using a synergistic prior to enforce structural similarities. 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

This study investigates the use of a synergistic edge-preserving prior for a maximum-likelihood reconstruction of PET activity and attenuation images. The effect of the prior was tested on different reconstruction methods: MLAA and our algorithm MLAA-EB-S. Simple simulations on cylindrical phantoms with an insert showed that the presence of a synergistic prior enforces cross-talk related edges when the images are reconstructed with non-TOF MLAA and increases the bias in both the reconstructed activity and attenuation images. However, benefits appear when the joint problem is less ill-posed, as in the case of our method MLAA-EB-S, which exploits scatter information to improve conditioning. Overall, MLAA-EB-S with synergistic prior achieved the lowest bias and variance in both the activity and the attenuation images amongst the compared methods. Therefore, the proposed synergistic prior could be a useful way for improving the performance of MLAA-EB-S without the need of relying on anatomical images.

Type: Proceedings paper
Title: Joint reconstruction of activity and attenuation in non-TOF PET using a synergistic prior to enforce structural similarities
Event: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
ISBN-13: 978-1-7281-4164-0
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/NSS/MIC42101.2019.9059768
Publisher version: https://doi.org/10.1109/NSS/MIC42101.2019.9059768
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: Image reconstruction, Attenuation, Image edge detection, Biomedical imaging, Reconstruction algorithms, Computed tomography, Three-dimensional displays
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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 > 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
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10099287
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