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Joint Activity and Attenuation Reconstruction from Multiple Energy Window Data with Photopeak Scatter Re-Estimation in non-TOF 3D PET

Brusaferri, L; Bousse, A; Emond, EC; Brown, R; Tsai, Y-J; Atkinson, D; Ourselin, S; ... Thielemans, K; + view all (2020) Joint Activity and Attenuation Reconstruction from Multiple Energy Window Data with Photopeak Scatter Re-Estimation in non-TOF 3D PET. IEEE Transactions on Radiation and Plasma Medical Sciences 10.1109/trpms.2020.2978449. (In press). Green open access

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Abstract

Estimation of attenuation from PET data only is of interest for PET-MR and systems where CT is not available or recommended. However, when using data from a single energy window, emission-based non-TOF PET AC methods suffer from ‘cross-talk’ artefacts. Based on earlier work, this manuscript explores the hypothesis that cross-talk can be reduced by using more than one energy window. We propose an algorithm for the simultaneous estimation of both activity and attenuation images as well as the scatter component of the measured data from a PET acquisition, using multiple energy windows. The model for the measurements is 3D and accounts for the finite energy resolution of PET detectors; it is restricted to single scatter. The proposed MLAA-EB-S algorithm is compared with simultaneous estimation from a single energy window (MLAA-S). The evaluation is based on simulations using the characteristics of the Siemens mMR scanner. Phantoms of different complexity were investigated. In particular, a 3D XCAT torso phantom was used to assess the inpainting of attenuation values within the lung region. Results show that the cross-talk present in non-TOF MLAA reconstructions is significantly reduced when using multiple energy windows and indicate that the proposed approach warrants further investigation.

Type: Article
Title: Joint Activity and Attenuation Reconstruction from Multiple Energy Window Data with Photopeak Scatter Re-Estimation in non-TOF 3D PET
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/trpms.2020.2978449
Publisher version: https://doi.org/10.1109/TRPMS.2020.2978449
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
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/10093102
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